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Titlebook: Networked Predictive Control of Systems with Communication Constraints and Cyber Attacks; Zhong-Hua Pang,Guo-Ping Liu,Dehui Sun Book 2019

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Secure Networked Predictive Control Under DoS Attackshing strategy is presented based on a networked predictive control scheme, which can guarantee the closed-loop control performance even if the current controller fails to work or the communication between the controller and the plant is cut off. Practical experiments are conducted to illustrate the effectiveness of the proposed methods.
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Networked Predictive Control Based on Nonlinear Input–Output Modellementation, the nonlinear model can be identified using an artificial neural network approach as an example. Numerical simulations and practical experiments are performed to confirm the effectiveness of the proposed method.
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Networked Predictive Control Based on State-Space Model control method is presented based on a state-space model. A stability condition is derived for the resulting closed-loop networked system, which also shows that the separation principle of the observer-based controller design still holds. Simulation and experimental results are given to illustrate the effectiveness of the proposed method.
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Secure Networked Predictive Control Under Deception Attackste for random RTT delays introduced by network communication constraints and additional RTT delays resulted from deception attacks simultaneously. Simulation and experimental results are presented to validate the proposed method.
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Incremental Networked Predictive Control Based on Linear Input–Output Modele output tracking error for a step reference input as long as the closed-loop stability is guaranteed. Numerical simulations and practical experiments are carried out to demonstrate the effectiveness of the proposed method.
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