Langbeschreibung
This book presents a series of control and filtering approaches for stochastic systems with traditional and emerging engineering-oriented complexities. Each chapter includes investigations of stability, robust performance, reliability, and/or disturbance attenuation. The text describes novel methodologies that can be applied extensively in lab simulations, field experiments, and real-world engineering practices to address challenges such as random delays, randomly occurring nonlinearities, time-variant nonlinearities, and more. Thus, this book provides a valuable reference for researchers and professionals in the signal processing and control engineering communities.
Inhaltsverzeichnis
Introduction. Robust Stabilization for Stochastic Time-Delay Interval Systems. Robust H8 Control for Markov Systems with Nonlinear Disturbance. H8 Filtering and Control for Markov Systems with Sensor Nonlinearities. H8 Analysis for Stochastic Differential Systems by Razumikhin Theory. Robust Filtering with Nonlinearities and Multiple Missing Measurements. Probability-Dependent Control with Randomly Occurring Nonlinearities. Probability-Dependent Filtering with Missing Measurements. Controller Design for 2-D Stochastic Nonlinear Roesser Model. Filtering for Networked Control Systems with Multiple Delays. State Estimation for Stochastic Delayed Gene Regulatory Networks. State Estimation for Complex Networks with ROCD. H8 Synchronization for Complex Networks with RVN.