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Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities
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 s
Inhaltsverzeichnis
Introduction. Robust Stabilization for Stochastic Time-Delay Interval Systems. Robust H¿ Control for Markov Systems with Nonlinear Disturbance. H¿ Filtering and Control for Markov Systems with Sensor Nonlinearities. H¿ 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. H¿ Synchronization for Complex Networks with RVN.
Guoliang Wei received his Ph.D in control engineering from Donghua University, Shanghai, China. He is currently a professor in the Department of Control Science and Engineering at the University of Shanghai for Science and Technology, China. He has conducted and assisted in research at the University of Duisburg-Essen, Germany; Brunel University, Uxbridge, UK; University of Hong Kong; and City University of Hong Kong. His research interests include nonlinear systems, stochastic systems, and bioinformatics. He is an active reviewer of, and has published more than 20 papers in, international journals.
ISBN-13:
9780367574581
Veröffentl:
2020
Erscheinungsdatum:
30.06.2020
Seiten:
250
Autor:
Guoliang Wei
Gewicht:
440 g
Format:
231x155x20 mm
Sprache:
Englisch
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