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Chapter
Introduction
CPSs, whose conceptual model is shown in Fig. 1.1 consist of the cyber realm and the physical layer. The cyber realm is mainly utilized to be in charge of interactions between the cyber world and the physical wor...
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Chapter
Conclusion and Further Work
This chapter draws conclusions on the book, and points out some possible research directions related to the work done in this book. By using some traditional and art-of-the-state techniques, for example, optim...
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Chapter
Deep Reinforcement Learning Control Approach to Mitigating Attacks
In this chapter, the deep reinforcement learning based secure control problem of CPSs under actuator attacks is first investigated. A reinforcement learning algorithm is proposed to learn the secure policy for...
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Chapter
Active Defense Control of CPSs via Sliding Mode
This chapter addresses the problem of resilient control for CPSs under DoS attacks, which are modeled by using DoS frequency and DoS duration inequalities. Under such a DoS attack model, a switched physical sy...
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Chapter
Intelligent Control for Nonlinear Networked Control Systems
Some main preliminaries are provided in this section. First, we describe the considered nonlinear NCSs, which are transformed from traditional systems due to the use of communication networks. Pade approximati...
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Chapter
Secure Estimation for CPSs via Sliding Mode
This chapter investigates the problem of secure state reconstruction for CPSs subject to both malicious attacks and unknown input. Firstly, CPSs are described as a discrete linear time invariant state space mo...
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Chapter
Proactive Secure Control for CPSs
Either the absence of an attack isolation algorithm or no available controllable pairs \((A,\mathcal {B}_{l})\) ...
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Chapter
Fault-Tolerant Tracking Control for Nonstrict-Feedback Systems
This chapter investigates the problem of observer-based adaptive neural tracking control for nonlinear nonstrict-feedback systems in presence of the actuator fault. Neural networks are introduced to identify t...
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Chapter
Optimal DoS Attack Scheduling for CPSs
This chapter investigates the problem of how to design an optimal DoS attack sequence to deteriorate the performance of the remote estimator from the attacker’s perspective. For the system setup, the system de...
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Chapter
Learning Tracking Control for CPSs
The diagram of the system frame is described in Fig. 4.1, which shows that the controller and the actuator interact with each other using the cyber layer. The adversary can implement DoS attacks to prevent the cy...
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Chapter
Reliable Filtering of Sensor Networks
Even the reliable distributed filtering problem has been investigated in [139] using type-1 T-S fuzzy model, there exist some space to improve the results, which lies in both how to describe the uncertainties ...
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Chapter
Zero-Sum Game Based Optimal Secure Control
This chapter is focused on the optimal secure control scheme for CPSs based on the game-theoretical approach. The physical plant is described as a linear time-invariant discrete-time model with Gaussian noises...