Filtering Control And Fault Detection With Randomly Occurring Incomplete Information Hongli Dong by Hongli Dong, Zidong Wang, Huijun Gao(auth.) 9781118647912, 9781118650981, 1118647912, 1118650980 instant download after payment.

This book investigates the filtering, control and fault detection problems for several classes of nonlinear systems with randomly occurring incomplete information. It proposes new concepts, including RVNs, ROMDs, ROMTCDs, and ROQEs. The incomplete information under consideration primarily includes missing measurements, time-delays, sensor and actuator saturations, quantization effects and time-varying nonlinearities.

The first part of this book focuses on the filtering, control and fault detection problems for several classes of nonlinear stochastic discrete-time systems and in the second part, the theories and techniques are developed to deal with distributed filtering issues in sensor networks and some distributed filters are designed for nonlinear time-varying systems and Markovian jumping nonlinear time-delay systems, respectively. Finally, the application potential is explored with a study of mobile robot navigation problems.Content:
Chapter 1 Introduction (pages 1–10):
Chapter 2 Variance?Constrained Finite?Horizon Filtering and Control with Saturations (pages 11–39):
Chapter 3 Filtering and Control with Stochastic Delays and Missing Measurements (pages 41–72):
Chapter 4 Filtering and Control for Systems with Repeated Scalar Nonlinearities (pages 73–100):
Chapter 5 Filtering and Fault Detection for Markov Systems with Varying Nonlinearities (pages 101–138):
Chapter 6 Quantized Fault Detection with Mixed Time?Delays and Packet Dropouts (pages 139–170):
Chapter 7 Distributed Filtering over Sensor Networks with Saturations (pages 171–187):
Chapter 8 Distributed Filtering with Quantization Errors: The Finite?Horizon Case (pages 189–203):
Chapter 9 Distributed Filtering for Markov Jump Nonlinear Time?Delay Systems (pages 205–225):
Chapter 10 A New Finite?Horizon H? Filtering Approach to Mobile Robot Localization (pages 227–245):
Chapter 11 Conclusions and Future Work (pages 247–251):