
Nonlinear Pinning Control of Complex Dynamical Networks by Edgar N Sanchez
This book presents two nonlinear control strategies for complex dynamical networks. First, sliding-mode control is used, and then the inverse optimal control approach is employed. For both cases, model-based is considered in Chapter 3 and Chapter 5; then, Chapter 4 and Chapter 6 are based on determining a model for the unknow system using a recurrent neural network, using on-line extended Kalman filtering for learning.
The book is organized in four sections. The first one covers mathematical preliminaries, with a brief review for complex networks, and the pinning methodology. Additionally, sliding-mode control and inverse optimal control are introduced. Neural network structures are also discussed along with a description of the high-order ones. The second section presents the analysis and simulation results for sliding-mode control for identical as well as non-identical nodes. The third section describes analysis and simulation results for inverse optimal control considering identical or non-identical nodes. Finally, the last section presents applications of these schemes, using gene regulatory networks and microgrids as examples.
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Chaos in Automatic Control
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Advances in Missile Guidance, Control, and Estimation
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Robust Formation Control for Multiple Unmanned Aerial Vehicles
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Analysis and Synthesis of Fuzzy Control Systems
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Control of Nonlinear Systems via PI, PD and PID
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Wireless Ad hoc and Sensor Networks
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Modeling and Control of Complex Systems
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Distributed Adaptive Consensus Control of Uncertain Multi-Agent Systems
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Optimal Event-Triggered Control Using Adaptive Dynamic Programming
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Control of Nonlinear Systems
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Maneuverable Formation Control in Constrained Space
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Reinforcement Learning and Dynamic Programming Using Function Approximators
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Quantitative Process Control Theory
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Modeling and Control for Micro/Nano Devices and Systems
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Sliding Mode Control in Electro-Mechanical Systems
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System Modeling and Control with Resource-Oriented Petri Nets
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Variable Gain Control and Its Applications in Energy Conversion
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Optimal Control
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Cooperative Control of Multi-Agent Systems
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Multi-Agent Systems
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Deterministic Learning Theory for Identification, Recognition, and Control
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Synchronization and Control of Multiagent Systems
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Anti-Disturbance Control for Systems with Multiple Disturbances
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Tensor Product Model Transformation in Polytopic Model-Based Control
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Fundamentals in Modeling and Control of Mobile Manipulators
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Intelligent Diagnosis and Prognosis of Industrial Networked Systems
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Nonlinear Control of Dynamic Networks
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End-to-End Adaptive Congestion Control in TCP/IP Networks
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Electric and Plug-in Hybrid Vehicle Networks
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Fuzzy Controller Design
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Modern Control Engineering
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Nonlinear Control of Electric Machinery
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Discrete-Time Recurrent Neural Control
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Classical Feedback Control with Nonlinear Multi-Loop Systems
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Adaptive Control of Dynamic Systems with Uncertainty and Quantization
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Optimal Networked Control Systems with MATLAB
Edgar N. Sanchez works at CINVESTAV-IPN, Guadalajara Campus, Mexico, as a professor of electrical engineering graduate programs.
Carlos J. Vega received D.Sc. in Electrical Engineering degree from the Center for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV-IPN), Guadalajara, Mexico in 2020. His research interests include complex networks, nonlinear control, inverse optimal control, neural networks, and power systems.
Oscar J. Suarez is a Professor of engineering programs for undergraduate and graduate programs both in Colombia and Mexico. Currently, he is a Junior Research fellow of the Ministerio de Ciencia Tecnología e Innovación (Minciencias) in Colombia.
Guanrong Chen has been a Chair Professor and the Founding Director of the Centre for Chaos and Complex Networks, City University of Hong Kong, Hong Kong, since 2000.
| SKU | Unavailable |
| ISBN 13 | 9781032020938 |
| ISBN 10 | 1032020938 |
| Title | Nonlinear Pinning Control of Complex Dynamical Networks |
| Author | Edgar N Sanchez |
| Series | Automation And Control Engineering |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | CRC Press |
| Year published | 2023-09-25 |
| Number of pages | 202 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |



































