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Machinery electronics and control engineering IV : selected, peer reviewed papers from the 2014 4th International Conference on Machinery Electronics and Control Engineering (ICMECE 2014), November 8-9, 2014, Qingdao, Shandong, China / / edited by Lei Jia and Jinshou Yu
| Machinery electronics and control engineering IV : selected, peer reviewed papers from the 2014 4th International Conference on Machinery Electronics and Control Engineering (ICMECE 2014), November 8-9, 2014, Qingdao, Shandong, China / / edited by Lei Jia and Jinshou Yu |
| Pubbl/distr/stampa | Pfaffikon, Switzerland : , : TTP, , 2015 |
| Descrizione fisica | 1 online resource (378 p.) |
| Disciplina | 629.8 |
| Collana | Applied Mechanics and Materials |
| Soggetto topico |
Automatic control
Electric driving Electric machinery |
| Soggetto genere / forma | Electronic books. |
| ISBN | 3-03826-749-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Machinery Electronics and Control Engineering IV; Preface, Committees and Sponsors; Table of Contents; Chapter 1: Advanced Materials Engineering and Processing Technologies; Characteristics of Nanostructured TiO2 Prepared by One-Step Soaking Method for Photovoltaic Application; Natural Materials for Thermal Insulation: Mulch and Lava-Rock Characterizations; Thin-Shell Silk Cocoon (TSC) as a Nitrogen Source of ABE Fermentation by Clostridium acetobutylicum; Enhancing Sustainable Recycle Solid Waste to Porous Activated Carbon for Methane Uptake
Sustainable Recycle Solid Waste to Synthetic Renewable Solid EnergyEnzymatic Esterification of Oleic Acid and Propanol by Novozym 435; Impact of Powder Metallurgy Electrode in Electric Discharge Machining of H-13 Steel; Recycled Cigarette Filter as Reinforcing Filler for Natural Rubber; Manufacturing Method of Increasing Hollow Steel Shaft Thickness Using Uniaxial Pressing; Electrospray Coating of a TiO2 Electrode for Dye-Sensitized Solar Cells by a Post-Treatment Method; Preparation and Characterization of Hot Wall Deposited CuInGaSe2 Thin Films for Solar Cell Applications Quantitative Characterization of Sulfide Corrosion Reaction in Transformer OilContinuous Transesterification for Ethyl Ester Production from Refined Palm Oil through Static Mixer; Chapter 2: Applied Mechanics, Mechanical Engineering and Manufacturing Technologies; Design of a Novice Hydraulic Buoyant Force Engine; Multi-Objective Optimization of a Two-Disk Rotor System; 2k-H Planetary Gear Transmission System and its Largest Lyapunov Exponent; Comparison of the Strength Analysis about Single Bogie Frame and its in the Assembly Numerical Simulation of the Nozzle Angles Effect on the Pressure at Thrustwall and Nozzle Outlet of PDESMA Damped Tape Spring Hinge for Quasi-Static Deployment of a Satellite Solar Array; The Fluid-Structure Interaction Analysis of the Inverted Umbrella Aerator Curved Blade; A Processing Approach Incorporating Copper Backing-Wheel Device in Submerged Arc Welding for Manufacturing Cryogenic Storage Tanks; Modeling of Droplet Generation by a Modified T-Junction Device Using COMSOL; The Design of Self-Erection Derrick of Simple Offshore Workover Rig Vibration Forecast and Vibration Attenuation Research of the Finished Motorcycle Based on Virtual AnalysisSecondary Flows in Radial Diffusing Channels; Master Slave Quadrotor Formation for Lifting Force Multiplication; Increase in Accuracy and Smoothness of Movement of the Mechatronic Unit of Linear Micromotions; In-the-Loop Simulation Based on the Test Bed of Automotive Steer-by-Wire System; Discussion of Modern Machinery Production Technique and High Precision Machining Technology; Design and Application of Electromechanical Brake System The Parametric Design of Scissors Lifting Platform Based on SolidWorks and Optimization Analysis |
| Record Nr. | UNINA-9910460315303321 |
| Pfaffikon, Switzerland : , : TTP, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machinery electronics and control engineering IV : selected, peer reviewed papers from the 2014 4th International Conference on Machinery Electronics and Control Engineering (ICMECE 2014), November 8-9, 2014, Qingdao, Shandong, China / / edited by Lei Jia and Jinshou Yu
| Machinery electronics and control engineering IV : selected, peer reviewed papers from the 2014 4th International Conference on Machinery Electronics and Control Engineering (ICMECE 2014), November 8-9, 2014, Qingdao, Shandong, China / / edited by Lei Jia and Jinshou Yu |
| Pubbl/distr/stampa | Pfaffikon, Switzerland : , : TTP, , 2015 |
| Descrizione fisica | 1 online resource (378 p.) |
| Disciplina | 629.8 |
| Collana | Applied Mechanics and Materials |
| Soggetto topico |
Automatic control
Electric driving Electric machinery |
| ISBN | 3-03826-749-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Machinery Electronics and Control Engineering IV; Preface, Committees and Sponsors; Table of Contents; Chapter 1: Advanced Materials Engineering and Processing Technologies; Characteristics of Nanostructured TiO2 Prepared by One-Step Soaking Method for Photovoltaic Application; Natural Materials for Thermal Insulation: Mulch and Lava-Rock Characterizations; Thin-Shell Silk Cocoon (TSC) as a Nitrogen Source of ABE Fermentation by Clostridium acetobutylicum; Enhancing Sustainable Recycle Solid Waste to Porous Activated Carbon for Methane Uptake
Sustainable Recycle Solid Waste to Synthetic Renewable Solid EnergyEnzymatic Esterification of Oleic Acid and Propanol by Novozym 435; Impact of Powder Metallurgy Electrode in Electric Discharge Machining of H-13 Steel; Recycled Cigarette Filter as Reinforcing Filler for Natural Rubber; Manufacturing Method of Increasing Hollow Steel Shaft Thickness Using Uniaxial Pressing; Electrospray Coating of a TiO2 Electrode for Dye-Sensitized Solar Cells by a Post-Treatment Method; Preparation and Characterization of Hot Wall Deposited CuInGaSe2 Thin Films for Solar Cell Applications Quantitative Characterization of Sulfide Corrosion Reaction in Transformer OilContinuous Transesterification for Ethyl Ester Production from Refined Palm Oil through Static Mixer; Chapter 2: Applied Mechanics, Mechanical Engineering and Manufacturing Technologies; Design of a Novice Hydraulic Buoyant Force Engine; Multi-Objective Optimization of a Two-Disk Rotor System; 2k-H Planetary Gear Transmission System and its Largest Lyapunov Exponent; Comparison of the Strength Analysis about Single Bogie Frame and its in the Assembly Numerical Simulation of the Nozzle Angles Effect on the Pressure at Thrustwall and Nozzle Outlet of PDESMA Damped Tape Spring Hinge for Quasi-Static Deployment of a Satellite Solar Array; The Fluid-Structure Interaction Analysis of the Inverted Umbrella Aerator Curved Blade; A Processing Approach Incorporating Copper Backing-Wheel Device in Submerged Arc Welding for Manufacturing Cryogenic Storage Tanks; Modeling of Droplet Generation by a Modified T-Junction Device Using COMSOL; The Design of Self-Erection Derrick of Simple Offshore Workover Rig Vibration Forecast and Vibration Attenuation Research of the Finished Motorcycle Based on Virtual AnalysisSecondary Flows in Radial Diffusing Channels; Master Slave Quadrotor Formation for Lifting Force Multiplication; Increase in Accuracy and Smoothness of Movement of the Mechatronic Unit of Linear Micromotions; In-the-Loop Simulation Based on the Test Bed of Automotive Steer-by-Wire System; Discussion of Modern Machinery Production Technique and High Precision Machining Technology; Design and Application of Electromechanical Brake System The Parametric Design of Scissors Lifting Platform Based on SolidWorks and Optimization Analysis |
| Record Nr. | UNINA-9910787391603321 |
| Pfaffikon, Switzerland : , : TTP, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machinery electronics and control engineering IV : selected, peer reviewed papers from the 2014 4th International Conference on Machinery Electronics and Control Engineering (ICMECE 2014), November 8-9, 2014, Qingdao, Shandong, China / / edited by Lei Jia and Jinshou Yu
| Machinery electronics and control engineering IV : selected, peer reviewed papers from the 2014 4th International Conference on Machinery Electronics and Control Engineering (ICMECE 2014), November 8-9, 2014, Qingdao, Shandong, China / / edited by Lei Jia and Jinshou Yu |
| Pubbl/distr/stampa | Pfaffikon, Switzerland : , : TTP, , 2015 |
| Descrizione fisica | 1 online resource (378 p.) |
| Disciplina | 629.8 |
| Collana | Applied Mechanics and Materials |
| Soggetto topico |
Automatic control
Electric driving Electric machinery |
| ISBN | 3-03826-749-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Machinery Electronics and Control Engineering IV; Preface, Committees and Sponsors; Table of Contents; Chapter 1: Advanced Materials Engineering and Processing Technologies; Characteristics of Nanostructured TiO2 Prepared by One-Step Soaking Method for Photovoltaic Application; Natural Materials for Thermal Insulation: Mulch and Lava-Rock Characterizations; Thin-Shell Silk Cocoon (TSC) as a Nitrogen Source of ABE Fermentation by Clostridium acetobutylicum; Enhancing Sustainable Recycle Solid Waste to Porous Activated Carbon for Methane Uptake
Sustainable Recycle Solid Waste to Synthetic Renewable Solid EnergyEnzymatic Esterification of Oleic Acid and Propanol by Novozym 435; Impact of Powder Metallurgy Electrode in Electric Discharge Machining of H-13 Steel; Recycled Cigarette Filter as Reinforcing Filler for Natural Rubber; Manufacturing Method of Increasing Hollow Steel Shaft Thickness Using Uniaxial Pressing; Electrospray Coating of a TiO2 Electrode for Dye-Sensitized Solar Cells by a Post-Treatment Method; Preparation and Characterization of Hot Wall Deposited CuInGaSe2 Thin Films for Solar Cell Applications Quantitative Characterization of Sulfide Corrosion Reaction in Transformer OilContinuous Transesterification for Ethyl Ester Production from Refined Palm Oil through Static Mixer; Chapter 2: Applied Mechanics, Mechanical Engineering and Manufacturing Technologies; Design of a Novice Hydraulic Buoyant Force Engine; Multi-Objective Optimization of a Two-Disk Rotor System; 2k-H Planetary Gear Transmission System and its Largest Lyapunov Exponent; Comparison of the Strength Analysis about Single Bogie Frame and its in the Assembly Numerical Simulation of the Nozzle Angles Effect on the Pressure at Thrustwall and Nozzle Outlet of PDESMA Damped Tape Spring Hinge for Quasi-Static Deployment of a Satellite Solar Array; The Fluid-Structure Interaction Analysis of the Inverted Umbrella Aerator Curved Blade; A Processing Approach Incorporating Copper Backing-Wheel Device in Submerged Arc Welding for Manufacturing Cryogenic Storage Tanks; Modeling of Droplet Generation by a Modified T-Junction Device Using COMSOL; The Design of Self-Erection Derrick of Simple Offshore Workover Rig Vibration Forecast and Vibration Attenuation Research of the Finished Motorcycle Based on Virtual AnalysisSecondary Flows in Radial Diffusing Channels; Master Slave Quadrotor Formation for Lifting Force Multiplication; Increase in Accuracy and Smoothness of Movement of the Mechatronic Unit of Linear Micromotions; In-the-Loop Simulation Based on the Test Bed of Automotive Steer-by-Wire System; Discussion of Modern Machinery Production Technique and High Precision Machining Technology; Design and Application of Electromechanical Brake System The Parametric Design of Scissors Lifting Platform Based on SolidWorks and Optimization Analysis |
| Record Nr. | UNINA-9910818457403321 |
| Pfaffikon, Switzerland : , : TTP, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Zeroing neural networks : finite-time convergence design, analysis and applications / / Lin Xiao and Lei Jia
| Zeroing neural networks : finite-time convergence design, analysis and applications / / Lin Xiao and Lei Jia |
| Autore | Xiao Lin |
| Pubbl/distr/stampa | Piscataway, New Jersey ; ; Hoboken, New Jersey : , : IEEE Press : , : Wiley, , [2023] |
| Descrizione fisica | 1 online resource (435 pages) |
| Disciplina | 006.32 |
| Soggetto topico |
Neural networks (Computer science)
Nonlinear difference equations |
| ISBN |
1-119-98604-4
1-119-98602-8 1-119-98603-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright -- Contents -- List of Figures -- List of Tables -- Author Biographies -- Preface -- Acknowledgments -- Part I Application to Matrix Square Root -- Chapter 1 FTZNN for Time‐varying Matrix Square Root -- 1.1 Introduction -- 1.2 Problem Formulation and ZNN Model -- 1.3 FTZNN Model -- 1.3.1 Model Design -- 1.3.2 Theoretical Analysis -- 1.4 Illustrative Verification -- 1.5 Chapter Summary -- References -- Chapter 2 FTZNN for Static Matrix Square Root -- 2.1 Introduction -- 2.2 Solution Models -- 2.2.1 OZNN Model -- 2.2.2 FTZNN Model -- 2.3 Illustrative Verification -- 2.3.1 Example 1 -- 2.3.2 Example 2 -- 2.4 Chapter Summary -- References -- Part II Application to Matrix Inversion -- Chapter 3 Design Scheme I of FTZNN -- 3.1 Introduction -- 3.2 Problem Formulation and Preliminaries -- 3.3 FTZNN Model -- 3.3.1 Model Design -- 3.3.2 Theoretical Analysis -- 3.4 Illustrative Verification -- 3.4.1 Example 1: Nonrandom Time‐varying Coefficients -- 3.4.2 Example 2: Random Time‐varying Coefficients -- 3.5 Chapter Summary -- References -- Chapter 4 Design Scheme II of FTZNN -- 4.1 Introduction -- 4.2 Preliminaries -- 4.2.1 Mathematical Preparation -- 4.2.2 Problem Formulation -- 4.3 NT‐FTZNN Model -- 4.4 Theoretical Analysis -- 4.4.1 NT‐FTZNN in the Absence of Noises -- 4.4.2 NT‐FTZNN in the Presence of Noises -- 4.4.2.1 Dynamic Bounded Gradually Disappearing Noise -- 4.4.2.2 Dynamic Bounded Non‐disappearing Noise -- 4.5 Illustrative Verification -- 4.5.1 Example 1: Two‐dimensional Coefficient -- 4.5.2 Example 2: Six‐dimensional Coefficient -- 4.5.3 Example 3: Application to Mobile Manipulator -- 4.5.4 Example 4: Physical Comparative Experiments -- 4.6 Chapter Summary -- References -- Chapter 5 Design Scheme III of FTZNN -- 5.1 Introduction -- 5.2 Problem Formulation and Neural Solver -- 5.2.1 FPZNN Model.
5.2.2 IVP‐FTZNN Model -- 5.3 Theoretical Analysis -- 5.4 Illustrative Verification -- 5.4.1 Example 1: Two‐Dimensional Coefficient -- 5.4.2 Example 2: Three‐Dimensional Coefficient -- 5.5 Chapter Summary -- References -- Part III Application to Linear Matrix Equation -- Chapter 6 Design Scheme I of FTZNN -- 6.1 Introduction -- 6.2 Convergence Speed and Robustness Co‐design -- 6.3 R‐FTZNN Model -- 6.3.1 Design of R‐FTZNN -- 6.3.2 Analysis of R‐FTZNN -- 6.4 Illustrative Verification -- 6.4.1 Numerical Example -- 6.4.1.1 No Noise Considered -- 6.4.1.2 With Noises Considered -- 6.4.2 Applications: Robotic Motion Tracking -- 6.5 Chapter Summary -- References -- Chapter 7 Design Scheme II of FTZNN -- 7.1 Introduction -- 7.2 Problem Formulation -- 7.3 FTZNN Model -- 7.4 Theoretical Analysis -- 7.4.1 Convergence -- 7.4.2 Robustness -- 7.5 Illustrative Verification -- 7.5.1 Convergence -- 7.5.2 Robustness -- 7.6 Chapter Summary -- References -- Part IV Application to Optimization -- Chapter 8 FTZNN for Constrained Quadratic Programming -- 8.1 Introduction -- 8.2 Preliminaries -- 8.2.1 Problem Formulation -- 8.2.2 Optimization Theory -- 8.3 U‐FTZNN Model -- 8.4 Convergence Analysis -- 8.5 Robustness Analysis -- 8.6 Illustrative Verification -- 8.6.1 Qualitative Experiments -- 8.6.2 Quantitative Experiments -- 8.7 Application to Image Fusion -- 8.8 Application to Robot Control -- 8.9 Chapter Summary -- References -- Chapter 9 FTZNN for Nonlinear Minimization -- 9.1 Introduction -- 9.2 Problem Formulation and ZNN Models -- 9.2.1 Problem Formulation -- 9.2.2 ZNN Model -- 9.2.3 RZNN Model -- 9.3 Design and Analysis of R‐FTZNN -- 9.3.1 Second‐Order Nonlinear Formula -- 9.3.2 R‐FTZNN Model -- 9.4 Illustrative Verification -- 9.4.1 Constant Noise -- 9.4.2 Dynamic Noise -- 9.5 Chapter Summary -- References -- Chapter 10 FTZNN for Quadratic Optimization. 10.1 Introduction -- 10.2 Problem Formulation -- 10.3 Related Work: GNN and ZNN Models -- 10.3.1 GNN Model -- 10.3.2 ZNN Model -- 10.4 N‐FTZNN Model -- 10.4.1 Models Comparison -- 10.4.2 Finite‐Time Convergence -- 10.5 Illustrative Verification -- 10.6 Chapter Summary -- References -- Part V Application to the Lyapunov Equation -- Chapter 11 Design Scheme I of FTZNN -- 11.1 Introduction -- 11.2 Problem Formulation and Related Work -- 11.2.1 GNN Model -- 11.2.2 ZNN Model -- 11.3 FTZNN Model -- 11.4 Illustrative Verification -- 11.5 Chapter Summary -- References -- Chapter 12 Design Scheme II of FTZNN -- 12.1 Introduction -- 12.2 Problem Formulation and Preliminaries -- 12.3 FTZNN Model -- 12.3.1 Design of FTZNN -- 12.3.2 Analysis of FTZNN -- 12.4 Illustrative Verification -- 12.5 Application to Tracking Control -- 12.6 Chapter Summary -- References -- Chapter 13 Design Scheme III of FTZNN -- 13.1 Introduction -- 13.2 N‐FTZNN Model -- 13.2.1 Design of N‐FTZNN -- 13.2.2 Re‐Interpretation from Nonlinear PID Perspective -- 13.3 Theoretical Analysis -- 13.4 Illustrative Verification -- 13.4.1 Numerical Comparison -- 13.4.2 Application Comparison -- 13.4.3 Experimental Verification -- 13.5 Chapter Summary -- References -- Part VI Application to the Sylvester Equation -- Chapter 14 Design Scheme I of FTZNN -- 14.1 Introduction -- 14.2 Problem Formulation and ZNN Model -- 14.3 N‐FTZNN Model -- 14.3.1 Design of N‐FTZNN -- 14.3.2 Theoretical Analysis -- 14.4 Illustrative Verification -- 14.5 Robotic Application -- 14.6 Chapter Summary -- References -- Chapter 15 Design Scheme II of FTZNN -- 15.1 Introduction -- 15.2 ZNN Model and Activation Functions -- 15.2.1 ZNN Model -- 15.2.2 Commonly Used AFs -- 15.2.3 Two Novel Nonlinear AFs -- 15.3 NT‐PTZNN Models and Theoretical Analysis -- 15.3.1 NT‐PTZNN1 Model -- 15.3.1.1 Case 1 -- 15.3.1.2 Case 2. 15.3.2 NT‐PTZNN2 Model -- 15.3.2.1 Case 1 -- 15.3.2.2 Case 2 -- 15.4 Illustrative Verification -- 15.4.1 Example 1 -- 15.4.2 Example 2 -- 15.4.3 Example 3 -- 15.5 Chapter Summary -- References -- Chapter 16 Design Scheme III of FTZNN -- 16.1 Introduction -- 16.2 ZNN Model and Activation Function -- 16.2.1 ZNN Model -- 16.2.2 Sign‐bi‐power Activation Function -- 16.3 FTZNN Models with Adaptive Coefficients -- 16.3.1 SA‐FTZNN Model -- 16.3.2 PA‐FTZNN Model -- 16.3.3 EA‐FTZNN Model -- 16.4 Illustrative Verification -- 16.5 Chapter Summary -- References -- Part VII Application to Inequality -- Chapter 17 Design Scheme I of FTZNN -- 17.1 Introduction -- 17.2 FTZNN Models Design -- 17.2.1 Problem Formulation -- 17.2.2 ZNN Model -- 17.2.3 Vectorization -- 17.2.4 Activation Functions -- 17.2.5 FTZNN Models -- 17.3 Theoretical Analysis -- 17.3.1 Global Convergence -- 17.3.2 Finite‐Time Convergence -- 17.4 Illustrative Verification -- 17.5 Chapter Summary -- References -- Chapter 18 Design Scheme II of FTZNN -- 18.1 Introduction -- 18.2 NT‐FTZNN Model Deisgn -- 18.2.1 Problem Formulation -- 18.2.2 ZNN Model -- 18.2.3 NT‐FTZNN Model -- 18.2.4 Activation Functions -- 18.3 Theoretical Analysis -- 18.3.1 Global Convergence -- 18.3.2 Finite‐Time Convergence -- 18.3.3 Noise‐Tolerant Convergence -- 18.4 Illustrative Verification -- 18.5 Chapter Summary -- References -- Part VIII Application to Nonlinear Equation -- Chapter 19 Design Scheme I of FTZNN -- 19.1 Introduction -- 19.2 Model Formulation -- 19.2.1 OZNN Model -- 19.2.2 FTZNN Model -- 19.2.3 Models Comparison -- 19.3 Convergence Analysis -- 19.4 Illustrative Verification -- 19.4.1 Nonlinear Equation f(u) with Simple Root -- 19.4.2 Nonlinear Equation f(u) with Multiple Root -- 19.5 Chapter Summary -- References -- Chapter 20 Design Scheme II of FTZNN -- 20.1 Introduction -- 20.2 Problem and Model Formulation. 20.2.1 GNN Model -- 20.2.2 OZNN Model -- 20.3 FTZNN Model and Finite‐Time Convergence -- 20.4 Illustrative Verification -- 20.5 Chapter Summary -- References -- Chapter 21 Design Scheme III of FTZNN -- 21.1 Introduction -- 21.2 Problem Formulation and ZNN Models -- 21.2.1 Problem Formulation -- 21.2.2 ZNN Model -- 21.3 Robust and Fixed‐Time ZNN Model -- 21.4 Theoretical Analysis -- 21.4.1 Case 1: No Noise -- 21.4.2 Case 2: Under External Noises -- 21.5 Illustrative Verification -- 21.6 Chapter Summary -- References -- Index -- EULA. |
| Record Nr. | UNINA-9910678005903321 |
Xiao Lin
|
||
| Piscataway, New Jersey ; ; Hoboken, New Jersey : , : IEEE Press : , : Wiley, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Zeroing Neural Networks : Finite-Time Convergence Design, Analysis and Applications
| Zeroing Neural Networks : Finite-Time Convergence Design, Analysis and Applications |
| Autore | Xiao Lin |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2022 |
| Descrizione fisica | 1 online resource (435 pages) |
| Altri autori (Persone) | JiaLei |
| ISBN |
1-119-98604-4
1-119-98602-8 1-119-98603-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright -- Contents -- List of Figures -- List of Tables -- Author Biographies -- Preface -- Acknowledgments -- Part I Application to Matrix Square Root -- Chapter 1 FTZNN for Time‐varying Matrix Square Root -- 1.1 Introduction -- 1.2 Problem Formulation and ZNN Model -- 1.3 FTZNN Model -- 1.3.1 Model Design -- 1.3.2 Theoretical Analysis -- 1.4 Illustrative Verification -- 1.5 Chapter Summary -- References -- Chapter 2 FTZNN for Static Matrix Square Root -- 2.1 Introduction -- 2.2 Solution Models -- 2.2.1 OZNN Model -- 2.2.2 FTZNN Model -- 2.3 Illustrative Verification -- 2.3.1 Example 1 -- 2.3.2 Example 2 -- 2.4 Chapter Summary -- References -- Part II Application to Matrix Inversion -- Chapter 3 Design Scheme I of FTZNN -- 3.1 Introduction -- 3.2 Problem Formulation and Preliminaries -- 3.3 FTZNN Model -- 3.3.1 Model Design -- 3.3.2 Theoretical Analysis -- 3.4 Illustrative Verification -- 3.4.1 Example 1: Nonrandom Time‐varying Coefficients -- 3.4.2 Example 2: Random Time‐varying Coefficients -- 3.5 Chapter Summary -- References -- Chapter 4 Design Scheme II of FTZNN -- 4.1 Introduction -- 4.2 Preliminaries -- 4.2.1 Mathematical Preparation -- 4.2.2 Problem Formulation -- 4.3 NT‐FTZNN Model -- 4.4 Theoretical Analysis -- 4.4.1 NT‐FTZNN in the Absence of Noises -- 4.4.2 NT‐FTZNN in the Presence of Noises -- 4.4.2.1 Dynamic Bounded Gradually Disappearing Noise -- 4.4.2.2 Dynamic Bounded Non‐disappearing Noise -- 4.5 Illustrative Verification -- 4.5.1 Example 1: Two‐dimensional Coefficient -- 4.5.2 Example 2: Six‐dimensional Coefficient -- 4.5.3 Example 3: Application to Mobile Manipulator -- 4.5.4 Example 4: Physical Comparative Experiments -- 4.6 Chapter Summary -- References -- Chapter 5 Design Scheme III of FTZNN -- 5.1 Introduction -- 5.2 Problem Formulation and Neural Solver -- 5.2.1 FPZNN Model.
5.2.2 IVP‐FTZNN Model -- 5.3 Theoretical Analysis -- 5.4 Illustrative Verification -- 5.4.1 Example 1: Two‐Dimensional Coefficient -- 5.4.2 Example 2: Three‐Dimensional Coefficient -- 5.5 Chapter Summary -- References -- Part III Application to Linear Matrix Equation -- Chapter 6 Design Scheme I of FTZNN -- 6.1 Introduction -- 6.2 Convergence Speed and Robustness Co‐design -- 6.3 R‐FTZNN Model -- 6.3.1 Design of R‐FTZNN -- 6.3.2 Analysis of R‐FTZNN -- 6.4 Illustrative Verification -- 6.4.1 Numerical Example -- 6.4.1.1 No Noise Considered -- 6.4.1.2 With Noises Considered -- 6.4.2 Applications: Robotic Motion Tracking -- 6.5 Chapter Summary -- References -- Chapter 7 Design Scheme II of FTZNN -- 7.1 Introduction -- 7.2 Problem Formulation -- 7.3 FTZNN Model -- 7.4 Theoretical Analysis -- 7.4.1 Convergence -- 7.4.2 Robustness -- 7.5 Illustrative Verification -- 7.5.1 Convergence -- 7.5.2 Robustness -- 7.6 Chapter Summary -- References -- Part IV Application to Optimization -- Chapter 8 FTZNN for Constrained Quadratic Programming -- 8.1 Introduction -- 8.2 Preliminaries -- 8.2.1 Problem Formulation -- 8.2.2 Optimization Theory -- 8.3 U‐FTZNN Model -- 8.4 Convergence Analysis -- 8.5 Robustness Analysis -- 8.6 Illustrative Verification -- 8.6.1 Qualitative Experiments -- 8.6.2 Quantitative Experiments -- 8.7 Application to Image Fusion -- 8.8 Application to Robot Control -- 8.9 Chapter Summary -- References -- Chapter 9 FTZNN for Nonlinear Minimization -- 9.1 Introduction -- 9.2 Problem Formulation and ZNN Models -- 9.2.1 Problem Formulation -- 9.2.2 ZNN Model -- 9.2.3 RZNN Model -- 9.3 Design and Analysis of R‐FTZNN -- 9.3.1 Second‐Order Nonlinear Formula -- 9.3.2 R‐FTZNN Model -- 9.4 Illustrative Verification -- 9.4.1 Constant Noise -- 9.4.2 Dynamic Noise -- 9.5 Chapter Summary -- References -- Chapter 10 FTZNN for Quadratic Optimization. 10.1 Introduction -- 10.2 Problem Formulation -- 10.3 Related Work: GNN and ZNN Models -- 10.3.1 GNN Model -- 10.3.2 ZNN Model -- 10.4 N‐FTZNN Model -- 10.4.1 Models Comparison -- 10.4.2 Finite‐Time Convergence -- 10.5 Illustrative Verification -- 10.6 Chapter Summary -- References -- Part V Application to the Lyapunov Equation -- Chapter 11 Design Scheme I of FTZNN -- 11.1 Introduction -- 11.2 Problem Formulation and Related Work -- 11.2.1 GNN Model -- 11.2.2 ZNN Model -- 11.3 FTZNN Model -- 11.4 Illustrative Verification -- 11.5 Chapter Summary -- References -- Chapter 12 Design Scheme II of FTZNN -- 12.1 Introduction -- 12.2 Problem Formulation and Preliminaries -- 12.3 FTZNN Model -- 12.3.1 Design of FTZNN -- 12.3.2 Analysis of FTZNN -- 12.4 Illustrative Verification -- 12.5 Application to Tracking Control -- 12.6 Chapter Summary -- References -- Chapter 13 Design Scheme III of FTZNN -- 13.1 Introduction -- 13.2 N‐FTZNN Model -- 13.2.1 Design of N‐FTZNN -- 13.2.2 Re‐Interpretation from Nonlinear PID Perspective -- 13.3 Theoretical Analysis -- 13.4 Illustrative Verification -- 13.4.1 Numerical Comparison -- 13.4.2 Application Comparison -- 13.4.3 Experimental Verification -- 13.5 Chapter Summary -- References -- Part VI Application to the Sylvester Equation -- Chapter 14 Design Scheme I of FTZNN -- 14.1 Introduction -- 14.2 Problem Formulation and ZNN Model -- 14.3 N‐FTZNN Model -- 14.3.1 Design of N‐FTZNN -- 14.3.2 Theoretical Analysis -- 14.4 Illustrative Verification -- 14.5 Robotic Application -- 14.6 Chapter Summary -- References -- Chapter 15 Design Scheme II of FTZNN -- 15.1 Introduction -- 15.2 ZNN Model and Activation Functions -- 15.2.1 ZNN Model -- 15.2.2 Commonly Used AFs -- 15.2.3 Two Novel Nonlinear AFs -- 15.3 NT‐PTZNN Models and Theoretical Analysis -- 15.3.1 NT‐PTZNN1 Model -- 15.3.1.1 Case 1 -- 15.3.1.2 Case 2. 15.3.2 NT‐PTZNN2 Model -- 15.3.2.1 Case 1 -- 15.3.2.2 Case 2 -- 15.4 Illustrative Verification -- 15.4.1 Example 1 -- 15.4.2 Example 2 -- 15.4.3 Example 3 -- 15.5 Chapter Summary -- References -- Chapter 16 Design Scheme III of FTZNN -- 16.1 Introduction -- 16.2 ZNN Model and Activation Function -- 16.2.1 ZNN Model -- 16.2.2 Sign‐bi‐power Activation Function -- 16.3 FTZNN Models with Adaptive Coefficients -- 16.3.1 SA‐FTZNN Model -- 16.3.2 PA‐FTZNN Model -- 16.3.3 EA‐FTZNN Model -- 16.4 Illustrative Verification -- 16.5 Chapter Summary -- References -- Part VII Application to Inequality -- Chapter 17 Design Scheme I of FTZNN -- 17.1 Introduction -- 17.2 FTZNN Models Design -- 17.2.1 Problem Formulation -- 17.2.2 ZNN Model -- 17.2.3 Vectorization -- 17.2.4 Activation Functions -- 17.2.5 FTZNN Models -- 17.3 Theoretical Analysis -- 17.3.1 Global Convergence -- 17.3.2 Finite‐Time Convergence -- 17.4 Illustrative Verification -- 17.5 Chapter Summary -- References -- Chapter 18 Design Scheme II of FTZNN -- 18.1 Introduction -- 18.2 NT‐FTZNN Model Deisgn -- 18.2.1 Problem Formulation -- 18.2.2 ZNN Model -- 18.2.3 NT‐FTZNN Model -- 18.2.4 Activation Functions -- 18.3 Theoretical Analysis -- 18.3.1 Global Convergence -- 18.3.2 Finite‐Time Convergence -- 18.3.3 Noise‐Tolerant Convergence -- 18.4 Illustrative Verification -- 18.5 Chapter Summary -- References -- Part VIII Application to Nonlinear Equation -- Chapter 19 Design Scheme I of FTZNN -- 19.1 Introduction -- 19.2 Model Formulation -- 19.2.1 OZNN Model -- 19.2.2 FTZNN Model -- 19.2.3 Models Comparison -- 19.3 Convergence Analysis -- 19.4 Illustrative Verification -- 19.4.1 Nonlinear Equation f(u) with Simple Root -- 19.4.2 Nonlinear Equation f(u) with Multiple Root -- 19.5 Chapter Summary -- References -- Chapter 20 Design Scheme II of FTZNN -- 20.1 Introduction -- 20.2 Problem and Model Formulation. 20.2.1 GNN Model -- 20.2.2 OZNN Model -- 20.3 FTZNN Model and Finite‐Time Convergence -- 20.4 Illustrative Verification -- 20.5 Chapter Summary -- References -- Chapter 21 Design Scheme III of FTZNN -- 21.1 Introduction -- 21.2 Problem Formulation and ZNN Models -- 21.2.1 Problem Formulation -- 21.2.2 ZNN Model -- 21.3 Robust and Fixed‐Time ZNN Model -- 21.4 Theoretical Analysis -- 21.4.1 Case 1: No Noise -- 21.4.2 Case 2: Under External Noises -- 21.5 Illustrative Verification -- 21.6 Chapter Summary -- References -- Index -- EULA. |
| Record Nr. | UNINA-9910632496903321 |
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Xiao Lin
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| Newark : , : John Wiley & Sons, Incorporated, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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