Description
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
Table of Contents
1 Introduction
1.1 Discrete-Time Stochastic Systems
1.2 Network-Enhanced Complexities
1.3 Performance Analysis and Engineering Design Synthesis
1.4 Outline
2 Finite-Horizon H∞ Control with Randomly Occurring Non-linearities and Fading Measurements
2.1 Modeling and Problem Formulation
2.2 H∞ Performance Analysis
2.3 H∞ Controller Design
2.4 Simulation Examples
2.5 Summary
3 Finite-Horizon H∞ Consensus Control for Multi-Agent Systems with Missing Measurements
3.1 Modeling and Problem Formulation
3.2 Consensus Performance Analysis
3.3 H∞ Controller Design
3.4 Simulation Examples
3.5 Summary
4 Finite-Horizon Distributed H∞ State Estimation with Stochastic Parameters through Sensor Networks
4.1 Modeling and Problem Formulation
4.2 H∞ Performance Analysis
4.3 Distributed Filter Design
4.4 Simulation Examples
4.5 Summary
5 Finite-Horizon Dissipative Control for State-Saturated Discrete Time-Varying Systems with Missing Measurements
5.1 Modeling and Problem Formulation
5.2 Dissipative Control for Full State Saturation Case
5.3 Dissipative Control for Partial State Saturation Case
5.4 Simulation Examples
5.5 Summary
6 Finite-Horizon H∞ Filtering for State-Saturated Discrete Time-Varying Systems with Packet Dropouts
6.1 Modeling and Problem Formulation
6.2 H∞ Filtering for Full State Saturation Case
6.3 H∞ Filtering for Partial State Saturation Case
6.4 Simulation Examples
6.5 Summary
7 Finite-Horizon Envelope-Constrained H∞ Filtering with Fading Measurements
7.1 Modeling and Problem Formulation
7.2 H∞ Performance Analysis
7.3 Envelope Constraint Analysis
7.4 Envelope-Constrained H∞ Filter Design
7.5 Simulation Examples
7.6 Summary
8 Distributed Filtering under Uniform Quantizations and Deception Attacks through Sensor Networks
8.1 Modeling and Problem Formulation
8.2 Distributed Filter Design
8.3 Boundedness Analysis
8.4 Simulation Examples
8.5 Summary
9 Event-Triggered Distributed H∞ State Estimation with Packet Dropouts through Sensor Networks
9.1 Modeling and Problem Formulation
9.2 H∞ Performance Analysis
9.3 H∞ Estimator Design
9.4 Simulation Examples
9.5 Summary
10 Event-Triggered Consensus Control for Multi-Agent Systems in the Framework of Input-to-State Stability in Probability
10.1 Modeling and Problem Formulation
10.2 Analysis of Input-to-State Stability in Probability
10.3 Event-triggered Consensus Control for Multi-agent Systems
10.4 Simulation Examples
10.5 Summary
11 Event-Triggered Security Control for Discrete-Time Stochastic Systems subject to Cyber-Attacks
11.1 Problem Formulation
11.2 Security Performance Analysis
11.3 Security Controller Design
11.4 Simulation Examples
11.5 Summary
12 Event-Triggered Consensus Control for Multi-Agent Systems subject to Cyber-Attacks in the Framework of Observers
12.1 Modeling and Problem Formulation
12.2 Consensus Analysis
12.3 Consensus Controller Design
12.4 Simulation Examples
12.5 Summary
Bibliography
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- 洋書電子書籍
- Transactions on Edu…
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- 電子書籍
- 【デジタル限定】坂口風詩写真集「女子高…
