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In this paper, a new methodology for feed forward-feedback control system design is proposed. Initially, the concept of control equilibrium point is introduced. Using this concept, the steady state control command is determined so as to maintain the desired situation of the system. Non-model-based feed forward control law is conducted on this basis using an artificial neural network. The feedback...
Considering the characteristics of the time-delay, inertia and time-varying of the dissolved oxygen (DO) control in the sewage disposal process, a Fuzzy Smith-PID control model is proposed based on the analysis of the regular PID and Fuzzy control in this paper, which integrates the advantages of the high robustness of the Fuzzy controller, the compensation of the time delay problem of Smith Estimation...
This paper presents a quasi-decentralized nonlinear control methodology for multi-unit nonlinear plants whose constituent subsystems communicate over a shared, resource-constrained communication network. The objective is to stabilize the plant while keeping the communication requirements to a minimum in order to reduce the unnecessary utilization of network resources. To this end, an uncertain nonlinear...
In Networked Control Systems, delays are unavoidable. Moreover, loss of data should be taken into account. Smith-like predictor is the most common approach to cope with delays, but open loop stability is required to ensure internal stability. Some recent results allow dealing with these systems, if a SISO structure is concerned. In this paper, the design of a predictor-observer for possible unstable...
This paper presents a nonlinear control system that is applicable to stable and unstable processes, whether non-minimum- or minimum-phase. The closed-loop stability is ensured by forcing every process state variable to follow a desired linear response. This approach results in a nonlinear state feedback that induces approximately linear responses to the state variables. The control system includes...
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