Papers by Author: Juan Wang

Abstract: In order to meet the requirements of target tracking problem in terminal guidance of intercepting an aircraft, based on Gaussian-Newton Iteration strategy, a novel divided differential filter was introduced, which guaranteed higher estimation accuracy than the commonly used EKF and UKF methods. The relative small computation load made it possible for real time implantation of the filter and simulations based on a typical terminal guidance model proved the correctness and effectiveness of the proposed filter.

Abstract: Model for drive system of four-wheel-drive electric vehicle was investigated. By combing the balance equation for the vehicle movement with the equation of motor mechanical properties, a mathematical model of driving system of electric vehicle was established, PI control strategy was used for the optimal control and the model was simulated by the software Matlab/Simulink. The simulation results show that the mathematical model of driving system of the electric vehicle can represent the vehicle running states accurately.

Abstract: Parameters selection plays an important role for the performance of least squares support vector machines (LS-SVM). In this paper, a novel parameters selection method for LS-SVM is presented based on chaotic ant swarm (CAS) algorithm. Using this method, the optimization model is established, within which the fitness function is the mean square error (MSE) index, and the constraints are the ranges of the designing parameters. The proposed method is used in the identification for inverse model of the nonlinear systems, and simulation results are given to show the efficiency.

Abstract: A static output feedback (SOF) control schemes are proposed. The basic idea of it is to construct piecewise quadratic Lyapunov function and introduce a dissipation inequality to guarantee the system energy dissipation. It is shown that the controller analysis or the synthesis problem can be casted as convex optimization problem, and the controller can be obtained by solving a set of linear matrix inequalities. The designed controllers not only guarantee the stability of the closed-loop systems, but also obtain the disturbance attenuation ability.

Abstract: In this paper, the stability of systems with interval time-varying delay is investigated. The time delay varies in an interval. By employing a new and tighter integral inequality and constructing an appropriate type of Lyapunov functional, the delay-dependent stability criteria are derived. Because neither any model transformation nor free weighting matrices are employed in the theoretical derivation, the developed stability criteria significantly improve and simplify the existing stability conditions.