IEEE Transactions on Industrial Electronics · 2014 · 51 citations · 19 references
EngineeringRobotics EngineeringDynamical SystemsRobot ControlRoboticsAdaptive ControlControl Of Dynamical SystemsControl SystemsControl TheoryNeural Control SystemsRobust ControlAdaptive Neural ControlDynamic Surface ControlMultiple-input Multiple-output ControlPerformance ConstraintsPosition ControlRobust Dynamic ControlRobust Nonlinear ControlRobust Tracking Control
An output-tracking-error-constrained dynamic surface control (DSC) is proposed for the robust output positioning of a multiple-input-multiple-output nonlinear dynamic system in the presence of both friction and deadzone nonsmooth nonlinearities. An error transformation method and simple barrier Lyapunov function are also proposed to ensure the prescribed output tracking performance and stability without requiring specific observations of the friction and deadzone parameters. In addition, a new adaptive cerebellar model articulation controller-echo state neural networks system is proposed to deal with an unknown nonlinear function to improve the positioning performance. The boundedness of the overall closed-loop signals and the prescribed performance constraints were guaranteed, and precise positioning performance was also ensured regardless of the effects of friction and deadzone. The proposed control scheme was evaluated by simulation and experiment.
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A new model for control of systems with friction
Carlos Canudas de Wit, Henrik Olsson, Karl Johan Åström et al. · IEEE Transactions on Automatic Control · 1995 · 3.6K citations · Full text
Dynamic surface control for a class of nonlinear systems
D. Swaroop, J. Karl Hedrick, Pak Yip et al. · IEEE Transactions on Automatic Control · 2000 · 2.4K citations