Nonlinear Control and Filtering for Stochastic Networked Systems

The book covers control and filtering problems for several classes of stochastic networked systems including stability, robustness, reliability, consensus performance, and/or disturbance attenuation levels within a unified theoretical framework. It derives sufficient conditions for systems to achieve the prescribed design requirements.

Info autore

Lifeng Ma, Zidong Wang, Yuming Bo

Riassunto

The book covers control and filtering problems for several classes of stochastic networked systems including stability, robustness, reliability, consensus performance, and/or disturbance attenuation levels within a unified theoretical framework. It derives sufficient conditions for systems to achieve the prescribed design requirements.

Dettagli sul prodotto

• Autori: Lifeng (Nanjing University of Science and Tech Ma, Lifeng Ma, Zidong Wang, Yuming Bo, Ma Lifeng, Wang Zidong, Bo Yuming
• Editore: Taylor & Francis Ltd.
• Contenuto: Libro
• Forma del prodotto: Copertina rigida
• Data pubblicazione: 13.12.2018
• Categoria: Scienze naturali, medicina, informatica, tecnica > Matematica > Analisi
• EAN: 9781138386570
• ISBN: 978-1-138-38657-0
• Numero di pagine: 242
• Categorie: Maß, SMC, MATHEMATICS / Differential Equations / General, TECHNOLOGY & ENGINEERING / Electrical, environmental science, engineering & technology, Communications, Number Theory, Signal Processing, Communications engineering / telecommunications, Energy, power generation, distribution and storage, Linear programming, sensor networks, Positive Definite Matrices, multiagent system, deception attacks, Systems and Control, noises, LMI, St Im, Consensus Problem, communication delays, Nonlinear multi-agent systems, Data Packet Losses, Consensus Control Problem, SMC Controller, Data Packet Loses, nonlinear stochastic systems, Sensor Failures, Distributed Filtering Problem, Sensor Saturation, SMC Law, UUVs, Sensing Nodes, SMC Problem, Set Membership Filtering, filtering problem, Uncertain Nonlinear Stochastic Systems, Multiplicative Noises