In this paper, the robust control problem of general nonlinear multi-input multi-output (MIMO) systems is proposed. The robustness against unknown disturbances is considered. Two algorithms based on the Sliding Mode C...In this paper, the robust control problem of general nonlinear multi-input multi-output (MIMO) systems is proposed. The robustness against unknown disturbances is considered. Two algorithms based on the Sliding Mode Control (SMC) for nonlinear coupled multi-input multi-output (MIMO) systems are proposed: the first order sliding mode control (FOSMC) with saturation (sat) function and the FOSMC with sat combined with integrator controller. Those algorithms were simulated and implemented on the three tanks test-bed system and the exprimental results confirm the effectiveness of our control design.展开更多
This paper is concerned with the problem of system identification using expansions on generalized orthonormal bases(GOB). Three algorithms are proposed to optimize the poles of such a basis. The first two algorithms d...This paper is concerned with the problem of system identification using expansions on generalized orthonormal bases(GOB). Three algorithms are proposed to optimize the poles of such a basis. The first two algorithms determine a GOB with optimal real poles while the third one determines a GOB with optimal real and complex poles. These algorithms are based on the estimation of the dominant mode associated with a residual signal obtained by iteratively filtering the output of the process to be modelled. These algorithms are iterative and based on the quadratic error between the linear process output and the GOB based model output. They present the advantage to be very simple to implement. No numerical optimization technique is needed, and in consequence there is no problem of local minima as is the case for other algorithms in the literature. The convergence of the proposed algorithms is proved by demonstrating that the modeling quadratic error between the process output and the GOB based model is decreasing at each iteration of the algorithm. The performance of the proposed pole selection algorithms are based on the quadratic error criteria and illustrated by means of simulation results.展开更多
Purpose–The purpose of this paper is to propose a decentralized observer for large-scale singular systems.Design/methodology/approach–In this paper,the authors investigate the problem of observers’design for large-...Purpose–The purpose of this paper is to propose a decentralized observer for large-scale singular systems.Design/methodology/approach–In this paper,the authors investigate the problem of observers’design for large-scale singular systems.The proposed decentralized observer is based on a new parameterization of the generalized Sylvester equation solution.The considered system is partitioned into small-sizes interconnected subsystems with unknown interconnections.Findings–A decentralized observer based on new parameterization of generalized Sylvester equation.The performance of the proposed approach is illustrated by a numerical example.Originality/value–The proposed approach unites the full-order,the reduced-order and the minimal order observer design for large-scale system.The conditions of the existence of this observer are given in the linear matrix inequalities(LMI)form.展开更多
文摘In this paper, the robust control problem of general nonlinear multi-input multi-output (MIMO) systems is proposed. The robustness against unknown disturbances is considered. Two algorithms based on the Sliding Mode Control (SMC) for nonlinear coupled multi-input multi-output (MIMO) systems are proposed: the first order sliding mode control (FOSMC) with saturation (sat) function and the FOSMC with sat combined with integrator controller. Those algorithms were simulated and implemented on the three tanks test-bed system and the exprimental results confirm the effectiveness of our control design.
文摘This paper is concerned with the problem of system identification using expansions on generalized orthonormal bases(GOB). Three algorithms are proposed to optimize the poles of such a basis. The first two algorithms determine a GOB with optimal real poles while the third one determines a GOB with optimal real and complex poles. These algorithms are based on the estimation of the dominant mode associated with a residual signal obtained by iteratively filtering the output of the process to be modelled. These algorithms are iterative and based on the quadratic error between the linear process output and the GOB based model output. They present the advantage to be very simple to implement. No numerical optimization technique is needed, and in consequence there is no problem of local minima as is the case for other algorithms in the literature. The convergence of the proposed algorithms is proved by demonstrating that the modeling quadratic error between the process output and the GOB based model is decreasing at each iteration of the algorithm. The performance of the proposed pole selection algorithms are based on the quadratic error criteria and illustrated by means of simulation results.
文摘Purpose–The purpose of this paper is to propose a decentralized observer for large-scale singular systems.Design/methodology/approach–In this paper,the authors investigate the problem of observers’design for large-scale singular systems.The proposed decentralized observer is based on a new parameterization of the generalized Sylvester equation solution.The considered system is partitioned into small-sizes interconnected subsystems with unknown interconnections.Findings–A decentralized observer based on new parameterization of generalized Sylvester equation.The performance of the proposed approach is illustrated by a numerical example.Originality/value–The proposed approach unites the full-order,the reduced-order and the minimal order observer design for large-scale system.The conditions of the existence of this observer are given in the linear matrix inequalities(LMI)form.
