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A design method of robust iterative learning controller is proposed for uncertain systems with both state and input delay. The controller is obtained by resolving Riccati equation. In addition, the necessary and sufficient conditions of convergence are derived from Lyapunov theory. The proposed controller has lower order and can be more easily realized than(More)
A novel control algorithm - fuzzy generalized predictive control (FGPC) algorithm for nonlinear systems is proposed. Fuzzy Gustafon-Kessel algorithm and weighted recursive least-square method are applied to identify the T-S model offline. The identified model is then combined with generalized predictive control algorithm to control non-linear systems. And(More)
A design method of variable structure fault tolerant controller (VSFTC) is presented for a class of systems with unknown structure. It is inserted into a normal system to substitute for the primary controller automatically when faults occur. RBF neural network is used to identify system and fault detection is realized by threshold test approach. The system(More)
Iterative learning control method is proposed for the single pendulum which is a typical fast-speed multi- variable nonlinear absolutely unstable system. The closed loop iterative learning algorithm based on Lyapunov theory is presented, where the sufficient condition of convergence for closed loop iterative learning algorithm is proposed. The closed loop(More)
In this paper, we investigate the optimal performance for multiple-input multiple-output (MIMO) communication networked system under the QoS constraints through tracking a unit step signal. The expression of optimal performance for MIMO communication networked system is obtained by using of co-prime factorization, partial factorization, and spectral(More)
In this note, a repetitive learning control (RLC) approach is proposed to deal with periodic tracking tasks for uncertain time-varying delay systems. The design of an open-close loop P type iterative learning controller is studied for uncertain time-varying delay systems. The design procedure is based upon obtaining the sufficient condition of convergence(More)
Because of the shortcomings of traditional AC - DC - AC frequency-conversion circuit electrical systems, this thesis tries to design a dual PWM speed control by variable voltage frequency variation (VVVF) control system based on voltage space vector (SVPWM). It can achieve two-way flow of energy, and improve the AC-side current waveform, the system power(More)
  • Xisheng Zhan
  • 2006
A novel method-robust iterative learning control (RILC) is proposed for time-varying systems with uncertain time-delay in this paper. The robust iterative learning controller is obtained by resolving Riccati equation. In addition, the sufficient and necessary conditions of convergence are derived by Lyapunov theory. The proposed controller has lower order(More)
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