Learn More
In this paper, an adaptive neural network (NN) dynamic surface control is proposed for a class of time-delay nonlinear systems with dynamic uncertainties and unknown hysteresis. The main advantages of the developed scheme are: 1) NNs are utilized to approximately describe nonlinearities and unknown dynamics of the nonlinear time-delay systems, making it(More)
In this paper, a new robust adaptive dynamic surface control is proposed for the tuning metal cutting system with PI hysteresis input. The main advantages of our control scheme are that: the control precision can be arbitrarily prespecified by a tracking error performance function which guaranteed the system tracking performance; the computational burden(More)
This paper is devoted to distributed adaptive containment control for a class of nonlinear multiagent systems with input quantization. By employing a matrix factorization and a novel matrix normalization technique, some assumptions involving control gain matrices in existing results are relaxed. By fusing the techniques of sliding mode control and(More)