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Goods-producing industries continuously search to improve the quality of final products. The main approach is to identify a correlation between the process settings and the quality of the final product. In this work, a three steps robust approach is presented to improve an industrial process. The first step consists in using a Support Vector machines Regression (SVR) method to build a model of the...
Based on the desired dynamic equation (DDE), PID control systems were designed for common processes, higher-order processes, non-minimum phase processes and integrating processes. Also Dynamic simulation and performance robustness test were made for systems. During the design process, the approximate plant models were not needed, the PID controller parameters were achieved by choosing the desired...
PID controller has simple structure and easy applicability with strong performance robustness. Decentralized PID controller and decoupling PID controller are widely adopted in the control of two-input-two-output (TITO) processes. Firstly, a simple decoupling controller matrix and a desired dynamic decoupling controller matrix are designed according to the idea of coupling matrix. And then three schemes...
The industrial process control systems usually encounter the time delay. Commonly, such the systems are controlled by the industrial PID controllers consisting of proportional-integral (P-I) elements existing in forward path for input tracking and load regulating proposes, and derivative (D) element existing in feedback path to reduce noises. Under harsh industrial environment, the process model is...
For target tracking in Interference Environments of cognitive radar problem, Extended Karman, Particle filter algorithms etc. are generally used to be regarded as usual solutions to state estimation. Many techniques have been developed to improve performance of target tracking. In this paper, we set the structure and key features of target's tracking design for cognitive radar, and newly propose cognitive...
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