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 | ||
Lo trovi qui: Univ. Federico II | ||
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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 | ||
|
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 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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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 |
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 | ||
Materiale a stampa | ||
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 |
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 | ||
|
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 | ||
|
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 | ||
|
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 | ||
|
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 | ||
|
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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