RESUMEN
In this work, the analysis of robust stability and design of robust H infinity output feedback controllers for a class of Lur'e systems with both time-delays and parameter uncertainties were studied. A robust H infinity output feedback controller based on Linear Matrix Inequalities (LMIs) was developed to guarantee the robust stability and H infinity performance of the resultant closed-loop system. The presented design approach is based on the application of descriptor model transformation and Park's inequality for the bounding of cross terms and is expected to be less conservative compared to reported design methods. Finally, illustrative examples are advanced to demonstrate the superiority of the obtained method.
Asunto(s)
Algoritmos , Retroalimentación/fisiología , Modelos Biológicos , Modelos Estadísticos , Dinámicas no Lineales , Procesos Estocásticos , Factores de TiempoRESUMEN
The main principle and the characteristic of Predictive Functional Control (PFC) strategy are presented in this paper and the corresponding control system aid design software APC-PFC is also introduced. For a chlorinated polyethylene (CPE) process, a design scheme of cascade predictive functional control system is described and the control performance is improved obviously.
Asunto(s)
Algoritmos , Ingeniería Química/métodos , Diseño Asistido por Computadora , Retroalimentación , Hidrocarburos Clorados/síntesis química , Polietileno/síntesis química , Programas Informáticos , Hidrocarburos Clorados/aislamiento & purificación , Polietileno/aislamiento & purificación , Polietilenos/síntesis química , Polietilenos/aislamiento & purificación , Tecnología Farmacéutica/métodosRESUMEN
An adaptive terminal sliding mode control (SMC) technique is proposed to deal with the tracking problem for a class of high-order nonlinear dynamic systems. It is shown that a function augmented sliding hyperplane can be used to develop a new terminal sliding mode for high-order nonlinear systems. A terminal SMC controller based on Lyapunov theory is designed to force the state variables of the closed-loop system to reach and remain on the terminal sliding mode, so that the output tracking error then converges to zero in finite time which can be set arbitrarily. An adaptive mechanism is introduced to estimate the unknown parameters of the upper bounds of system uncertainties. The estimates are then used as controller parameters so that the effects of uncertain dynamics can be eliminated. It is also shown that the stability of the closed-loop system can be guaranteed with the proposed control strategy. The simulation of a numerical example is provided to show the effectiveness of the new method.
