Analysis of networked predictive control systems with uncertainties
Shuai Liu
Abstract
Shuai Liu
Abstract
This paper studies the robustness of networked predictive control systems (NPCS) with uncertainties. A networked predictive control strategy that compensates for delay actively rather than passively is introduced to cope with - varying network delay and data dropout. The closed-loop networked predictive control system is described as a normal robust control system, which makes the control design and stability analysis convenient. The robustness analysis of the closed-loop networked predictive control system is discussed in details.
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This paper studies the robustness of networked predictive control systems (NPCS) with uncertainties. A networked predictive control strategy that compensates for delay actively rather than passively is introduced to cope with - varying network delay and data dropout. The closed-loop networked predictive control system is described as a normal robust control system, which makes the control design and stability analysis convenient. The robustness analysis of the closed-loop networked predictive control system is discussed in details.
Key concepts: Model predictive control, Robustness (evolution), Networked control system, Control theory (sociology), Control system, Computer science, Dropout (neural networks), Control engineering