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ACM transactions on computation theory
ACM transactions on computation theory
Pubbl/distr/stampa New York, N.Y., : Association for Computing Machinery, [2009]-
Descrizione fisica 1 online resource (volumes)
Disciplina 511
Soggetto topico Computational complexity
Machine theory
Computer programming
Complexité de calcul (Informatique)
Théorie des automates
Programmation (Informatique)
Soggetto genere / forma Periodicals.
Soggetto non controllato Algebra
ISSN 1942-3462
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti Transactions on computation theory
Association for Computing Machinery transactions on computation theory
ToCT
Record Nr. UNINA-9910375869603321
New York, N.Y., : Association for Computing Machinery, [2009]-
Materiale a stampa
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Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis / / by Marcin Mrugalski
Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis / / by Marcin Mrugalski
Autore Mrugalski Marcin
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (XXI, 182 p. 125 illus.)
Disciplina 006.3/2
Collana Studies in Computational Intelligence
Soggetto topico Computational intelligence
Artificial intelligence
Computational complexity
Control engineering
Computational Intelligence
Artificial Intelligence
Complexity
Control and Systems Theory
ISBN 3-319-01547-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Designing of dynamic neural networks -- Estimation methods in training of ANNs for robust fault diagnosis -- MLP in robust fault detection of static non-linear systems -- GMDH networks in robust fault detection of dynamic non-linear systems -- State-space GMDH networks for actuator robust FDI.
Record Nr. UNINA-9910299482403321
Mrugalski Marcin  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advanced Technologies, Systems, and Applications / / edited by Mirsad Hadžikadić, Samir Avdaković
Advanced Technologies, Systems, and Applications / / edited by Mirsad Hadžikadić, Samir Avdaković
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XIV, 367 p. 222 illus., 172 illus. in color.)
Disciplina 600
Collana Lecture Notes in Networks and Systems
Soggetto topico Computational intelligence
Computational complexity
Biomedical engineering
Energy systems
Mechanical engineering
Computational Intelligence
Complexity
Biomedical Engineering and Bioengineering
Energy Systems
Mechanical Engineering
ISBN 3-319-47295-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto From the content: The Case for Interdisciplinary and Cross-disciplinary Exploration -- Systems Approach to Modeling and Simulation -- The role of service robots and robotic systems in the treatment of patients in medical institutions -- Analysis of Electroencephalogram on Children with Epilepsy Using Global Wavelet Spectrum -- Target Signatures and Pose Estimation -- multaneous Operation of Personal Computers and Mathematical Assessment of Their Harmonic Impact on the Grid -- Energy Efficient Public Lighting - A Case Study -- Analysis of a Load Profile of the Public Company Roads of Federation Bosnia and Herzegovina -- Standardization of Bosnia and Herzegovina- approaches today and the challenges of the future -- New Concept in the Design and Implementation of the Grounding Transmission Lines -- Solar and Wind Energy: EP B&H’s Experiences on the Importance of Adequate Measurements. .
Record Nr. UNINA-9910153303203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
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Advanced Technologies, Systems, and Applications II : Proceedings of the International Symposium on Innovative and Interdisciplinary Applications of Advanced Technologies (IAT) / / edited by Mirsad Hadžikadić, Samir Avdaković
Advanced Technologies, Systems, and Applications II : Proceedings of the International Symposium on Innovative and Interdisciplinary Applications of Advanced Technologies (IAT) / / edited by Mirsad Hadžikadić, Samir Avdaković
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XIII, 1203 p. 773 illus., 606 illus. in color.)
Disciplina 620.7
Collana Lecture Notes in Networks and Systems
Soggetto topico Computational intelligence
Computational complexity
Biomedical engineering
Mechanical engineering
Energy systems
Computational Intelligence
Complexity
Biomedical Engineering and Bioengineering
Mechanical Engineering
Energy Systems
ISBN 3-319-71321-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910299576203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
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Lo trovi qui: Univ. Federico II
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Advanced topics on cellular self-organizing nets and chaotic nonlinear dynamics to model and control complex systems [[electronic resource] /] / edited by Riccardo Caponetto, Luigi Fortuna, Mattia Frasca
Advanced topics on cellular self-organizing nets and chaotic nonlinear dynamics to model and control complex systems [[electronic resource] /] / edited by Riccardo Caponetto, Luigi Fortuna, Mattia Frasca
Pubbl/distr/stampa Hackensakc, NJ, : World Scientific, c2008
Descrizione fisica 1 online resource (200 p.)
Disciplina 511.3/52
Altri autori (Persone) CaponettoR <1966-> (Riccardo)
FortunaL <1953-> (Luigi)
FrascaMattia
Collana World Scientific series on nonlinear science
Soggetto topico Computational complexity
Nonlinear systems - Mathematical models
Self-organizing maps
System theory - Mathematical models
Soggetto genere / forma Electronic books.
ISBN 1-281-96803-X
9786611968038
981-281-405-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contributors; List of People Involved in the FIRB Project; Contents; 1. The CNN Paradigm for Complexity; 1.1 Introduction; 1.2 The 3D-CNN Model; 1.3 E3: An Universal Emulator for Complex Systems; 1.4 Emergence of Forms in 3D-CNNs; 1.4.1 Initial conditions; 1.4.2 3D waves in homogeneous and unhomogeneous media; 1.4.3 Chua's circuit; 1.4.4 Lorenz system; 1.4.5 Rössler system; 1.4.6 FitzHugh-Nagumo neuron model; 1.4.7 Hindmarsh-Rose neuron model; 1.4.8 Inferior-Olive neuronmodel; 1.4.9 Izhikevich neuronmodel; 1.4.10 Neuron model exhibiting homoclinic chaos; 1.5 Conclusions
2. Emergent Phenomena in Neuroscience2.1 Introductory Material: Neurons and Models; 2.1.1 Models of excitability; 2.1.2 The Hodgkin-Huxley model; 2.1.3 The FitzHugh-Nagumo model; 2.1.4 Class I and class II excitability; 2.1.5 Other neuronmodels; 2.2 Electronic Implementation of NeuronModels; 2.2.1 Implementation of single cell neuron dynamics; 2.2.2 Implementation of systems with many neurons; 2.3 Local Activity Theory for Systems of IO Neurons; 2.3.1 The theory of local activity for one-port and two-port systems
2.3.2 The local activity and the edge of chaos regions of the inferior olive neuron2.4 Simulation of IO Systems: Emerging Results; 2.4.1 The paradigm of local active wave computation for image processing; 2.4.2 Local active wave computation based paradigm: 3D-shape processing; 2.5 Networks of HR Neurons; 2.5.1 The neural model; 2.5.2 Parameters for dynamical analysis; 2.5.3 Dynamical effects of topology on synchronization; 2.6 Neurons in Presence of Noise; 2.7 Conclusions; 3. Frequency Analysis and Identification in Atomic Force Microscopy; 3.1 Introduction; 3.2 AFM Modeling
3.2.1 Piecewise interaction force3.2.2 Lennard Jones-like interaction force; 3.3 Frequency Analysis via Harmonic Balance; 3.3.1 Piecewise interaction model analysis; 3.3.2 Lennard Jones-like hysteretic model analysis; 3.4 Identification of the Tip-Sample Force Model; 3.4.1 Identification method; 3.4.2 Experimental results; 3.5 Conclusions; References; 4. Control and Parameter Estimation of Systems with Low-Dimensional Chaos - The Role of Peak-to-Peak Dynamics; 4.1 Introduction; 4.2 Peak-to-Peak Dynamics; 4.3 Control System Design; 4.3.1 PPD modeling and control
4.3.2 The impact of noise and sampling frequency4.3.3 PPD reconstruction; 4.4 Parameter Estimation; 4.4.1 Derivation of the "empirical PPP"; 4.4.2 Interpolation of the "empirical PPP"; 4.4.3 Optimization; 4.4.4 Example of application; 4.5 Concluding Remarks; References; 5. Synchronization of Complex Networks; 5.1 Introduction; 5.2 Synchronization of Interacting Oscillators; 5.3 From Local to Long-Range Connections; 5.4 The Master Stability Function; 5.4.1 The case of continuous time systems; 5.4.2 The Master stability function for coupled maps
5.5 Key Elements for the Assessing of Synchronizability
Record Nr. UNINA-9910453334503321
Hackensakc, NJ, : World Scientific, c2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced topics on cellular self-organizing nets and chaotic nonlinear dynamics to model and control complex systems [[electronic resource] /] / edited by Riccardo Caponetto, Luigi Fortuna, Mattia Frasca
Advanced topics on cellular self-organizing nets and chaotic nonlinear dynamics to model and control complex systems [[electronic resource] /] / edited by Riccardo Caponetto, Luigi Fortuna, Mattia Frasca
Pubbl/distr/stampa Hackensakc, NJ, : World Scientific, c2008
Descrizione fisica 1 online resource (200 p.)
Disciplina 511.3/52
Altri autori (Persone) CaponettoR <1966-> (Riccardo)
FortunaL <1953-> (Luigi)
FrascaMattia
Collana World Scientific series on nonlinear science
Soggetto topico Computational complexity
Nonlinear systems - Mathematical models
Self-organizing maps
System theory - Mathematical models
ISBN 1-281-96803-X
9786611968038
981-281-405-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contributors; List of People Involved in the FIRB Project; Contents; 1. The CNN Paradigm for Complexity; 1.1 Introduction; 1.2 The 3D-CNN Model; 1.3 E3: An Universal Emulator for Complex Systems; 1.4 Emergence of Forms in 3D-CNNs; 1.4.1 Initial conditions; 1.4.2 3D waves in homogeneous and unhomogeneous media; 1.4.3 Chua's circuit; 1.4.4 Lorenz system; 1.4.5 Rössler system; 1.4.6 FitzHugh-Nagumo neuron model; 1.4.7 Hindmarsh-Rose neuron model; 1.4.8 Inferior-Olive neuronmodel; 1.4.9 Izhikevich neuronmodel; 1.4.10 Neuron model exhibiting homoclinic chaos; 1.5 Conclusions
2. Emergent Phenomena in Neuroscience2.1 Introductory Material: Neurons and Models; 2.1.1 Models of excitability; 2.1.2 The Hodgkin-Huxley model; 2.1.3 The FitzHugh-Nagumo model; 2.1.4 Class I and class II excitability; 2.1.5 Other neuronmodels; 2.2 Electronic Implementation of NeuronModels; 2.2.1 Implementation of single cell neuron dynamics; 2.2.2 Implementation of systems with many neurons; 2.3 Local Activity Theory for Systems of IO Neurons; 2.3.1 The theory of local activity for one-port and two-port systems
2.3.2 The local activity and the edge of chaos regions of the inferior olive neuron2.4 Simulation of IO Systems: Emerging Results; 2.4.1 The paradigm of local active wave computation for image processing; 2.4.2 Local active wave computation based paradigm: 3D-shape processing; 2.5 Networks of HR Neurons; 2.5.1 The neural model; 2.5.2 Parameters for dynamical analysis; 2.5.3 Dynamical effects of topology on synchronization; 2.6 Neurons in Presence of Noise; 2.7 Conclusions; 3. Frequency Analysis and Identification in Atomic Force Microscopy; 3.1 Introduction; 3.2 AFM Modeling
3.2.1 Piecewise interaction force3.2.2 Lennard Jones-like interaction force; 3.3 Frequency Analysis via Harmonic Balance; 3.3.1 Piecewise interaction model analysis; 3.3.2 Lennard Jones-like hysteretic model analysis; 3.4 Identification of the Tip-Sample Force Model; 3.4.1 Identification method; 3.4.2 Experimental results; 3.5 Conclusions; References; 4. Control and Parameter Estimation of Systems with Low-Dimensional Chaos - The Role of Peak-to-Peak Dynamics; 4.1 Introduction; 4.2 Peak-to-Peak Dynamics; 4.3 Control System Design; 4.3.1 PPD modeling and control
4.3.2 The impact of noise and sampling frequency4.3.3 PPD reconstruction; 4.4 Parameter Estimation; 4.4.1 Derivation of the "empirical PPP"; 4.4.2 Interpolation of the "empirical PPP"; 4.4.3 Optimization; 4.4.4 Example of application; 4.5 Concluding Remarks; References; 5. Synchronization of Complex Networks; 5.1 Introduction; 5.2 Synchronization of Interacting Oscillators; 5.3 From Local to Long-Range Connections; 5.4 The Master Stability Function; 5.4.1 The case of continuous time systems; 5.4.2 The Master stability function for coupled maps
5.5 Key Elements for the Assessing of Synchronizability
Record Nr. UNINA-9910782591603321
Hackensakc, NJ, : World Scientific, c2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced topics on cellular self-organizing nets and chaotic nonlinear dynamics to model and control complex systems [[electronic resource] /] / edited by Riccardo Caponetto, Luigi Fortuna, Mattia Frasca
Advanced topics on cellular self-organizing nets and chaotic nonlinear dynamics to model and control complex systems [[electronic resource] /] / edited by Riccardo Caponetto, Luigi Fortuna, Mattia Frasca
Pubbl/distr/stampa Hackensakc, NJ, : World Scientific, c2008
Descrizione fisica 1 online resource (200 p.)
Disciplina 511.3/52
Altri autori (Persone) CaponettoR <1966-> (Riccardo)
FortunaL <1953-> (Luigi)
FrascaMattia
Collana World Scientific series on nonlinear science
Soggetto topico Computational complexity
Nonlinear systems - Mathematical models
Self-organizing maps
System theory - Mathematical models
ISBN 1-281-96803-X
9786611968038
981-281-405-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contributors; List of People Involved in the FIRB Project; Contents; 1. The CNN Paradigm for Complexity; 1.1 Introduction; 1.2 The 3D-CNN Model; 1.3 E3: An Universal Emulator for Complex Systems; 1.4 Emergence of Forms in 3D-CNNs; 1.4.1 Initial conditions; 1.4.2 3D waves in homogeneous and unhomogeneous media; 1.4.3 Chua's circuit; 1.4.4 Lorenz system; 1.4.5 Rössler system; 1.4.6 FitzHugh-Nagumo neuron model; 1.4.7 Hindmarsh-Rose neuron model; 1.4.8 Inferior-Olive neuronmodel; 1.4.9 Izhikevich neuronmodel; 1.4.10 Neuron model exhibiting homoclinic chaos; 1.5 Conclusions
2. Emergent Phenomena in Neuroscience2.1 Introductory Material: Neurons and Models; 2.1.1 Models of excitability; 2.1.2 The Hodgkin-Huxley model; 2.1.3 The FitzHugh-Nagumo model; 2.1.4 Class I and class II excitability; 2.1.5 Other neuronmodels; 2.2 Electronic Implementation of NeuronModels; 2.2.1 Implementation of single cell neuron dynamics; 2.2.2 Implementation of systems with many neurons; 2.3 Local Activity Theory for Systems of IO Neurons; 2.3.1 The theory of local activity for one-port and two-port systems
2.3.2 The local activity and the edge of chaos regions of the inferior olive neuron2.4 Simulation of IO Systems: Emerging Results; 2.4.1 The paradigm of local active wave computation for image processing; 2.4.2 Local active wave computation based paradigm: 3D-shape processing; 2.5 Networks of HR Neurons; 2.5.1 The neural model; 2.5.2 Parameters for dynamical analysis; 2.5.3 Dynamical effects of topology on synchronization; 2.6 Neurons in Presence of Noise; 2.7 Conclusions; 3. Frequency Analysis and Identification in Atomic Force Microscopy; 3.1 Introduction; 3.2 AFM Modeling
3.2.1 Piecewise interaction force3.2.2 Lennard Jones-like interaction force; 3.3 Frequency Analysis via Harmonic Balance; 3.3.1 Piecewise interaction model analysis; 3.3.2 Lennard Jones-like hysteretic model analysis; 3.4 Identification of the Tip-Sample Force Model; 3.4.1 Identification method; 3.4.2 Experimental results; 3.5 Conclusions; References; 4. Control and Parameter Estimation of Systems with Low-Dimensional Chaos - The Role of Peak-to-Peak Dynamics; 4.1 Introduction; 4.2 Peak-to-Peak Dynamics; 4.3 Control System Design; 4.3.1 PPD modeling and control
4.3.2 The impact of noise and sampling frequency4.3.3 PPD reconstruction; 4.4 Parameter Estimation; 4.4.1 Derivation of the "empirical PPP"; 4.4.2 Interpolation of the "empirical PPP"; 4.4.3 Optimization; 4.4.4 Example of application; 4.5 Concluding Remarks; References; 5. Synchronization of Complex Networks; 5.1 Introduction; 5.2 Synchronization of Interacting Oscillators; 5.3 From Local to Long-Range Connections; 5.4 The Master Stability Function; 5.4.1 The case of continuous time systems; 5.4.2 The Master stability function for coupled maps
5.5 Key Elements for the Assessing of Synchronizability
Record Nr. UNINA-9910825960903321
Hackensakc, NJ, : World Scientific, c2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances and Applications in Chaotic Systems / / edited by Sundarapandian Vaidyanathan, Christos Volos
Advances and Applications in Chaotic Systems / / edited by Sundarapandian Vaidyanathan, Christos Volos
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (IX, 600 p. 344 illus., 262 illus. in color.)
Disciplina 003.857
Collana Studies in Computational Intelligence
Soggetto topico Control engineering
System theory
Computational complexity
Information storage and retrieval
Mathematical statistics
Control and Systems Theory
Systems Theory, Control
Complexity
Information Storage and Retrieval
Probability and Statistics in Computer Science
ISBN 3-319-30279-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Synchronization Phenomena in Coupled Hyperchaotic Hidden Oscillators using a Nonlinear Open Loop Controller -- A Chaotic Hyperjerk System Based on Memristive Device -- A Novel Hyperjerk System with Two Cubic Nonlinearities and Its Adaptive Control -- A Novel Conservative Jerk Chaotic System with Two Cubic Nonlinearities and Its Backstepping Control -- Adaptive Backstepping Control, Synchronization and Circuit Simulation of a Novel Jerk Chaotic System with a Quartic Nonlinearity -- A Seven-Term Novel Jerk Chaotic System and Its Adaptive Control -- Adaptive Control and Circuit Simulation of a Novel 4-D Hyperchaotic System with Two Quadratic Nonlinearities -- Analysis, Adaptive Control and Synchronization of a Novel 3-D Highly Chaotic System -- Qualitative Analysis and Adaptive Control of a Novel 4-D Hyperchaotic System -- Global Chaos Control and Synchronization of a Novel Two-Scroll Chaotic System with Three Quadratic Nonlinearities -- A Novel 3-D Circulant Chaotic System with Labyrinth Chaos and Its Adaptive Control -- A 3-D Novel Jerk Chaotic System and Its Application in Secure Communication System and Navigation Mobile Robot -- On the Verification for Realizing Multi-Scroll Chaotic Attractors with High Maximum Lyapunov Exponents and Entropy -- Chaotic Synchronization of CNNs in Small-World Topology Applied to Data Encryption -- Fuzzy Adaptive Synchronization of Incommensurate Fractional-Order Chaotic Systems -- Implementing of a Laboratory-Based Educational Tool for Teaching Nonlinear Circuits and Chaos -- Control of Shimizu-Morioka Chaotic System with Passive Control, Sliding Mode Control and Backstepping Design Methods: A Comparative Analysis -- Generalized Projective Synchronization of a Novel Chaotic System with a Quartic Nonlinearity via Adaptive Control -- A Novel 4-D Hyperchaotic Chemical Reactor System and its Adaptive Control -- A Novel 5-D Hyperchaotic System with a Line of Equilibrium Points and its Adaptive Control.-Analysis, Control and Circuit Simulation of a Novel 3-D Finance Chaotic System -- A Novel Highly Hyperchaotic System and its Adaptive Control -- Sliding Mode Controller Design for the Global Stabilization of Chaotic Systems and Its Application to Vaidyanathan Jerk System -- Adaptive Control and Synchronization of a Rod-Type Plasma Torch Chaotic System via Backstepping Control Method -- Analysis, Adaptive Control and Synchronization of a Novel 3-D Chaotic System with a Quartic Nonlinearity. .
Record Nr. UNINA-9910254259503321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances and Applications in Nonlinear Control Systems / / edited by Sundarapandian Vaidyanathan, Christos Volos
Advances and Applications in Nonlinear Control Systems / / edited by Sundarapandian Vaidyanathan, Christos Volos
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XI, 683 p. 325 illus., 239 illus. in color.)
Disciplina 629.836
Collana Studies in Computational Intelligence
Soggetto topico Control engineering
System theory
Computational complexity
Control and Systems Theory
Systems Theory, Control
Complexity
ISBN 3-319-30169-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Kinematic Control of a Robot by using Non-autonomous Chaotic Systems -- Nonlinear Observer Design for Chaotic Systems -- Nonlinear Observer Design for Population Biology Systems -- Output Regulation of Vaidyanathan 3-D Jerk Chaotic System -- General Observer Design for Continuous-Time and Discrete-Time Nonlinear Control Systems -- Generalized Projective Synchronization of Vaidyanathan Chaotic System via Active and Adaptive Control -- Adaptive Backstepping Control and Synchronization of Chlouverakis-Sprott Hyperjerk System -- Anti-Synchronization of Hyperchaotic Systems via Novel Sliding Mode Control Method and its Application to Vaidyanathan Hyperjerk Hyperchaotic System -- Sliding Mode Control with State Derivative Feedback in Novel Reciprocal State Space Form -- Active Controller Design for the Output Regulation of Vaidyanathan Hyperjerk System -- Analysis, Control and Synchronization of a Novel Highly Chaotic System with Three Quadratic Nonlinearities -- A No-Equilibrium Novel Highly Hyperchaotic System with Four Quadratic Nonlinearities and its Adaptive Control -- Identification, Stability and Stabilization of Limit Cycles in a Compass-Gait Biped Model via a Hybrid Poincaré Map -- Explicit Delay-Dependent Stability Criteria for Nonlinear Distributed Parameter Systems -- The Case of Bidirectionally Coupled Nonlinear Circuits via a Memristor -- Fuzzy Adaptive Sliding-Mode Control Scheme for Uncertain Underactuated Systems -- Unstable PLL-Controller as FM Modulator and Detection of Modulating Self-Oscillations -- Application of Time-Delayed Feedback Control Techniques in Digital Phase-Locked Loop -- Modeling and Predictive Control of Nonlinear Hybrid Systems using Mixed Logical -- Dynamical Formalism -- A Non-Linear Decentralized Control of Multimachine Power Systems based on a Backstepping Approach -- Diving Autopilot Design for Underwater Vehicles using an Adaptive Neuro-Fuzzy Sliding Mode Controller -- Variable Structure Sensorless Control of PMSM Drives -- Sliding Mode Control of Induction Generator Wind Turbine connected to the Grid -- Iterative Learning Control for Affine and Non Affine Linear Systems -- On Nonlinear Robust Adaptive Control: Application on Electro-Hydraulic Valve System -- Nonlinear Discrete Time Sliding Mode Control applied to a Pumping System -- Design of a Controller of Switched Nonlinear Systems based on Multiple Lyapunov Functions -- Nonlinear Sliding Mode Observer for Tire Pressure Monitoring -- Global Stabilization of Switched Nonlinear Systems using Backstepping Approach: Applications to Chemical Processes -- Second Order Sliding Mode Based Synchronization Control for Cooperative Robot Manipulators.
Record Nr. UNINA-9910254259903321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Complex Data Modeling and Computational Methods in Statistics / / edited by Anna Maria Paganoni, Piercesare Secchi
Advances in Complex Data Modeling and Computational Methods in Statistics / / edited by Anna Maria Paganoni, Piercesare Secchi
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (210 p.)
Disciplina 005.1
519
519.5
570.15195
620
Collana Contributions to Statistics
Soggetto topico Statistics 
Applied mathematics
Engineering mathematics
Biostatistics
Computational complexity
Software engineering
Statistical Theory and Methods
Applications of Mathematics
Complexity
Software Engineering/Programming and Operating Systems
ISBN 3-319-11149-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Antonino Abbruzzo, Angelo M. Mineo: Inferring networks from high-dimensional data with mixed variables -- 2 Federico Andreis, Fulvia Mecatti: Rounding Non-integer Weights in Bootstrapping Non-iid Samples: actual problem or harmless practice? -- 3 Marika Arena, Giovanni Azzone, Antonio Conte, Piercesare Secchi, Simone Vantini: Measuring downsize reputational risk in the Oil & Gas industry -- 4 Laura Azzimonti, Marzia A. Cremona, Andrea Ghiglietti, Francesca Ieva, Alessandra Menafoglio, Alessia Pini, Paolo Zanini: BARCAMP Technology Foresight and Statistics for the Future -- 5 Francesca Chiaromonte, Kateryna D. Makova: Using statistics to shed light on the dynamics of the human genome: A review -- 6 Nader Ebrahimi, Ehsan S. Soofi and Refik Soyer: Information Theory and Bayesian Reliability Analysis: Recent Advances -- 7 Stephan F. Huckemann: (Semi-) Intrinsic Statistical Analysis on non-Euclidean Spaces -- 8 John T. Kent: An investigation of projective shape space -- 9 Fabio Manfredini, Paola Pucci, Piercesare Secchi, Paolo Tagliolato, Simone Vantini, Valeria Vitelli: Treelet Decomposition of Mobile Phone Data for Deriving City Usage and Mobility Pattern in the Milan Urban Region -- 10 Cristina Mazzali, Mauro Maistriello, Francesca Ieva, Pietro Barbieri: Methodological issues in the use of administrative databases to study heart failure -- 11 Andrea Mercatant: Bayesian inference for randomized experiments with noncompliance and nonignorable missing data -- 12 Antonio Pulcini, Brunero Liseo: Approximate Bayesian Quantile Regression for Panel Data -- 13 Laura M. Sangalli: Estimating surfaces and spatial fields via regression models with differential regularization.  .
Record Nr. UNINA-9910299763803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
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