A discontinuous projection based adaptive robust control (ARC) design is constructed for nonlinear systems transformable to the semi-strict feedback form without knowing the bounds of parameter variations and uncertain nonlinearities. Departing from the existing robust adaptive control schemes in which the unknown bounds are estimated on-line, the proposed ARC design only adapts actual physical...

This paper provides an effective design method of inverse filters for use in multichannel 3D sound rendering. In order to obtain the optimal solution of the inverse filter, the conventional adaptive algorithm requires that the parameters are properly tuned through lots of time and effort while through the proposed method we can systematically obtain the inverse filter with the desired accuracy ...

An adaptive control scheme for mechanical manipulators proposed. The control loop consists of a network for learning the robot’s inverse dynamics and on-line generating the control signal. Some simulation results were provided to evaluate the design. A supervisor was used to improve the performances of the system during the adaptation transients. The supervisor exerts two supervisory actions. T...

A robust adaptive output feedback controller is proposed for a class of nonlinear systems represented by input–output models. In the design of the adaptive controller, a signal is used to characterise the unmodelled dynamics and a nonlinear damping term is introduced to counteract the effects of the unmodelled dynamics and bounded disturbances. With the proposed controller, all the variables in...

In this paper, we consider the output regulation problem for a one dimensional wave equation with harmonic disturbance anti-collocatedwith control. We first design an adaptive observer by themeasured output to estimate unknown parameters of the disturbance and recover the system state. Then by using the observer system and estimator of unknown harmonic disturbance, we construct an auxiliary sys...

In this Letter a feedback linearizing adaptive control system for the control of Chua’s circuits is presented. It is assumed that all the parameters of the system are unknown. Using a backstepping design procedure, an adaptive control system is designed which accomplishes trajectory control of the chosen node voltage by an independent voltage source. Simulation results are presented which show ...

Auction mechanism design has traditionally been a largely analytic process, relying on assumptions such as fully rational bidders. In practice, however, bidders behave unpredictably, making them difficult to model and complicating the design process. To address this challenge, we present an adaptive auction mechanism: one that learns to adjust its parameters in response to past empirical bidder...

This paper studies the design and application of the neural network based adaptive control scheme for autonomous underwater vehicle's (AUV's) depth control system that is an uncertain nonlinear dynamical one with unknown nonlinearities. The unknown nonlinearity is approximated by a feedforward neural network whose parameters are adaptively adjusted on-line according to a set of parameter estima...