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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...
This papers proposes a novel climate control strategy for mine extraction rooms based on the receding horizon optimal control scheme. Being a model-based procedure, the development of a pertinent prediction model is one of the keystones. According to recent technological advances, we consider that distributed measurements are available and provided by a wireless network. An enhanced modeling approach,...
This paper presents a generalized predictive controller based on RBF neural network (RBF-NN) for a class of nonlinear system with time delay. The procedure of the proposed control system includes two parts: RBF-NN modeling and predictive control algorithm design. The RBF-NN model can predict future outputs of the plant and the predictive value can be amended online, which allows it to employ to complex...
This paper proposes a new control design method for a continuous-time system with time-delay based on the way of designing generalized minimum variance control (GMVC). In addition, it is shown that the method which internal model principle was used for as the technique to remove offsets is effective.
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