The book addresses the system performance with a focus on the network-enhanced complexities and developing the engineering-oriented design framework of controllers and filters with potential applications in system sciences, control engineering and signal processing areas. Therefore, it provides a unified treatment on the analysis and synthesis for discrete-time stochastic systems with guarantee of certain performances against network-enhanced complexities with applications in sensor networks and mobile robotics. Such a result will be of great importance in the development of novel control and filtering theories including industrial impact.
Key Features
Provides original methodologies and emerging concepts to deal with latest issues in the control and filtering with an emphasis on a variety of network-enhanced complexities
Gives results of stochastic control and filtering distributed control and filtering, and security control of complex networked systems
Captures the essence of performance analysis and synthesis for stochastic control and filtering
Concepts and performance indexes proposed reflect the requirements of engineering practice
Methodologies developed in this book include backward recursive Riccati difference equation approach and the discrete-time version of input-to-state stability in probability
1 Introduction. 2 Finite-Horizon H Control with Randomly Occurring
Non-linearities and Fading Measurements.
3. Finite-Horizon H Consensus
Control for Multi-Agent Systems with Missing Measurements. 4 Finite-Horizon
Distributed H State Estimation with Stochastic Parameters through Sensor
Networks. 5 Finite-Horizon Dissipative Control for State-Saturated Discrete
Time-Varying Systems with Missing Measurements. 6 Finite-Horizon H Filtering
for State-Saturated Discrete Time-Varying Systems with Packet Dropouts. 7
Finite-Horizon Envelope-Constrained H Filtering with Fading Measurements. 8
Distributed Filtering under Uniform Quantizations and Deception Attacks
through Sensor Networks. 9 Event-Triggered Distributed H State Estimation
with Packet Dropouts through Sensor Networks. 10 Event-Triggered Consensus
Control for Multi-Agent Systems in the Framework of Input-to-State Stability
in Probability. 11 Event-Triggered Security Control for Discrete-Time
Stochastic Systems subject to Cyber-Attacks. 12 Event-Triggered Consensus
Control for Multi-Agent Systems subject to Cyber-Attacks in the Framework of
Observers.
Derui Ding, Zidong Wang, Guoliang Wei
Rohkem infot Taylor & Francis e-raamatute kohta