in this study, a new servo control system is presented for the overhead crane based on discrete-time state feedback approach. it provides both robust tracking and load swing suppression. inspired from independent joint and computed torque control in robot manipulator field, a new model is derived in which the crane actuators are considered as the main plant. the crane nonlinearities are then tr...

In this paper, the time-consistent solutions of a timeinconsistent discrete-time stochastic linear-quadratic optimal control are investigated. Different from the existing literature, the definiteness constraint is not posed on the state and the control weight matrices of the cost functional. Necessary and sufficient conditions are, respectively, obtained to the existence of the open-loop time-c...

In this paper we use the information-state approach to obtain solutions to risk-sensitive quadratic control problems. Speci cally we consider the case of tracking a desired trajectory. Results are presented for linear discrete-time models with Gaussian noise, and also for nite-discrete state, discrete-time hidden Markov models with continuous-range observations. These results give insight to mo...

In this paper we propose an.efficient algorithm for computing the solution to the finite time optimal control problem for discrete time linear hybrid systems with a quadratic performance criterion. The algorithm is based on a dynamic programming recursion and a multiparametric quadratic programming solver.

this paper proposes a hybrid control scheme for the synchronization of two chaotic duffing oscillator system, subject to uncertainties and external disturbances. the novelty of this scheme is that the linear quadratic regulation (lqr) control, sliding mode (sm) control and gaussian radial basis function neural network (grbfnn) control are combined to chaos synchronization with respect to extern...

The algebraic regulator and filter Riccati equations of weakly coupled dticrere-rime stochastic linear control systems are completely and exactly decomposed into reduced-order continuous-time algebraic Riccati equations corresponding to the subsystems. That is, the exact solution of the global discrete algebraic Riccati equation is found in terms of the reduced-order subsystem nonsymmetric cont...

The inverse linear-quadratic optimal control problem is a system identification whose aim to recover the quadratic cost function and hence closed-loop matrices based on observations of trajectories. In this paper, discrete-time, finite-horizon case considered, where agents are also assumed be homogeneous indistinguishable. latter means that all have same dynamics objective functions in terms “s...