Opis: Nonlinear Control of Dynamic Networks - David J. Hill, Zhong-Ping Jiang, Tengfei Liu

Significant progress has been made on nonlinear control systems in the past two decades. However, many of the existing nonlinear control methods cannot be readily used to cope with communication and networking issues without nontrivial modifications. For example, small quantization errors may cause the performance of a "well-designed" nonlinear control system to deteriorate. Motivated by the need for new tools to solve complex problems resulting from smart power grids, biological processes, distributed computing networks, transportation networks, robotic systems, and other cutting-edge control applications, Nonlinear Control of Dynamic Networks tackles newly arising theoretical and real-world challenges for stability analysis and control design, including nonlinearity, dimensionality, uncertainty, and information constraints as well as behaviors stemming from quantization, data-sampling, and impulses. Delivering a systematic review of the nonlinear small-gain theorems, the text: Supplies novel cyclic-small-gain theorems for large-scale nonlinear dynamic networks Offers a cyclic-small-gain framework for nonlinear control with static or dynamic quantization Contains a combination of cyclic-small-gain and set-valued map designs for robust control of nonlinear uncertain systems subject to sensor noise Presents a cyclic-small-gain result in directed graphs and distributed control of nonlinear multi-agent systems with fixed or dynamically changing topology Based on the authors' recent research, Nonlinear Control of Dynamic Networks provides a unified framework for robust, quantized, and distributed control under information constraints. Suggesting avenues for further exploration, the book encourages readers to take into consideration more communication and networking issues in control designs to better handle the arising challenges.Introduction Control Problems with Dynamic Networks Lyapunov Stability Input-to-State Stability Input-to-Output Stability Input-to-State Stabilization and an Overview of the Book Interconnected Nonlinear Systems Trajectory-Based Small-Gain Theorem Lyapunov-Based Small-Gain Theorem Small-Gain Control Design Large-Scale Dynamic Networks Continuous-Time Dynamic Networks Discrete-Time Dynamic Networks Hybrid Dynamic Networks Control Under Sensor Noise Static State Measurement Feedback Control Dynamic State Measurement Feedback Control Decentralized Output Measurement Feedback Control Event-Triggered and Self-Triggered Control Synchronization Under Sensor Noise Application: Robust Adaptive Control Quantized Nonlinear Control Static Quantization: A Sector Bound Approach Dynamic Quantization Quantized Output-Feedback Control Distributed Nonlinear Control A Cyclic-Small-Gain Result in Digraphs Distributed Output-Feedback Control Formation Control of Nonholonomic Mobile Robots Distributed Control With Flexible Topologies Conclusions and Future Challenges Appendix A Related Notions in Graph Theory Appendix B Systems With Discontinuous Dynamics Appendix C Technical Lemmas Related to Comparison Functions Appendix D Proofs of the Small-Gain Theorems 2.1, 3.2 and 3.6 Appendix E Proofs of Technical Lemmas in Chapter 4 Appendix F Proofs of Technical Lemmas in Chapter 5 References Index

Szczegóły: Nonlinear Control of Dynamic Networks - David J. Hill, Zhong-Ping Jiang, Tengfei Liu

Tytuł: Nonlinear Control of Dynamic Networks
Autor: David J. Hill, Zhong-Ping Jiang, Tengfei Liu
Producent: CRC Press Inc.
ISBN: 9781466584594
Rok produkcji: 2014
Ilość stron: 345
Oprawa: Twarda
Waga: 0.63 kg

Recenzje: Nonlinear Control of Dynamic Networks - David J. Hill, Zhong-Ping Jiang, Tengfei Liu