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This paper proposes a nonlinear controller for the stabilization of input delayed plants as well as to prove the robustness property of the reduction method. The plants considered are all of Linear Time Invariant (LTI) plants with input delay, which usually appear in process control in the industry. The core of this paper cames from the Dissipativity concept of Functional Differential Equation (FDE)...
This paper aims to the random and uncertain network delays, as well as controlled plant might be time-variant or nonlinear, a novel approach is proposed that novel Smith predictor combined with nonlinear control for wireless networked control systems (WNCS). This novel Smith predictor comes true to hide predictor models of the network delays into real network data transmission processes, therefore...
Addressing to the difficulties in PID parameter tuning, low accuracy in temperature controlling and the dissatisfaction in high exactitude extrusion processing of the present PID controllers, a new kind of PID controller based on RBF neural network is proposed. It can not only obtain a higher accuracy in temperature controlling, but also infinitely approach the nonlinear system with quicker and more...
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