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## Über dieses Buch

This book reports on the latest advances in the study of Networked Control Systems (NCSs). It highlights novel research concepts on NCSs; the analysis and synthesis of NCSs with special attention to their networked character; self- and event-triggered communication schemes for conserving limited network resources; and communication and control co-design for improving the efficiency of NCSs. The book will be of interest to university researchers, control and network engineers, and graduate students in the control engineering, communication and network sciences interested in learning the core principles, methods, algorithms and applications of NCSs.

## Inhaltsverzeichnis

### Chapter 1. Introduction

Abstract
With the rapid development of computer and network technologies, conventional control systems have been evolving.
Chen Peng, Dong Yue, Qing-Long Han

### Chapter 2. Preliminaries: Modeling, Communication Scheme, and Lemmas for NCSs

Abstract
In this chapter, delay distribution-dependent modeling and discrete event-triggered communication (ETC) scheme are introduced for NCSs studied in this book. The main idea of delay distribution-dependent modeling is to use the nonuniform distribution character of IP-based networks in the modeling of NCSs, therefore, it is helpful to reduce the conservativeness in the analysis and synthesis of NCSs. Compared with the time-triggered communication scheme, the proposed ETC scheme has the advantage in preserving the desired control performance, while saving the limited network bandwidth.
Chen Peng, Dong Yue, Qing-Long Han

### Chapter 3. Delay Distribution-Dependent Control for Networked Linear Control Systems

Abstract
IP-based network delays in networked control systems (NCSs) are inherently nonuniformly distributed and behave with multifractal nature. This chapter proposes a delay distribution-based stability analysis and synthesis approach for a linear system controlled over an IP-based communication network.
Chen Peng, Dong Yue, Qing-Long Han

### Chapter 4. Delay Distribution-Dependent Control for Networked Takagi–Sugeno Fuzzy Systems

Abstract
In this chapter, parallel distributed compensation (PDC) fuzzy rules are investigated for Takagi–Sugeno (T-S) fuzzy systems under network environments subject to asynchronous grades of membership.
Chen Peng, Dong Yue, Qing-Long Han

### Chapter 5. Decentralized Control for IP-based Large-Scale Systems

Abstract
This chapter addresses the decentralized control for a large-scale system with an IP-based communication network.
Chen Peng, Dong Yue, Qing-Long Han

### Chapter 6. $${H}_{\infty }$$ Filtering for NCSs with an Adaptive Event-Triggering Communication

Abstract
In this chapter, an adaptive event-triggered communication scheme is used to save the limited network bandwidth, while preserving the desired $${H} _{\infty }$$ filter performance.
Chen Peng, Dong Yue, Qing-Long Han

### Chapter 7. Codesign of Event-Triggered Communication Scheme and $${H}_\infty$$ H ∞ Controller for NCSs

Abstract
This chapter studies an event-triggered communication and $$H_{\infty }$$ control codesign method for networked control systems (NCSs) with network-induced delays and packet dropouts.
Chen Peng, Dong Yue, Qing-Long Han

### Chapter 8. Self-triggered Sampling Scheme for NCSs

Abstract
In this chapter, a self-triggered sampling scheme for an NCS is proposed by considering network-induced delays and data dropouts simultaneously.
Chen Peng, Dong Yue, Qing-Long Han

### Chapter 9. A Mixed Sampling Scheme for Wireless Networked Control Systems

Abstract
This chapter proposes a mixed self and event-triggered sampling scheme (MSE) for the execution of sampling in wireless networked control systems (WiNCSs) by striking a balance between self-triggered sampling (SET) and periodic event-triggered sampling (PET) to achieve a high energy efficiency.
Chen Peng, Dong Yue, Qing-Long Han

### Chapter 10. Event-Triggered Control for Networked Takagi–Sugeno Fuzzy Systems

Abstract
In this chapter, a discrete event-triggered communication scheme is used to save the limited network resource while preserving the desired performance and without resorting to extra hardware.
Chen Peng, Dong Yue, Qing-Long Han

### Backmatter

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