In this paper, the neural-network-based robust optimal control design for a class of uncertain nonlinear systems via adaptive dynamic programming approach is investigated. First, the robust controller of the original uncertain system is derived by adding a feedback gain to the optimal controller of the nominal system. It is also shown that this robust controller can achieve optimality under a s...

This paper presents the controller design of magnetic levitation application. The highly nonlinear electromagnetic suspension EMS system is hard and limited system control subjected to prescribed stability of system. Due to the nonlinear dynamics of system, the linearization of the nonlinear EMS plant is described by linear model. An attraction force about the prescribed nominal operating point...

-This paper presents the relative difference between the linear and nonlinear controller. The linear controller namely Proportional integral derivate controller (PID) and nonlinear controller called Generalized Proportional Integral (GPI) controller and Sliding mode controller are considered for the response analysis. The transient and dynamic performances of the linear and nonlinear controller...

In this paper, we talk about the application of fuzzy control techniques to the nonlinear systems. We propose a new scheme of fuzzy optimal control techniques in which T-S (Takagi-Sugeno) fuzzy model is used for the modeling. We adopt the PDC (parallel distributed control) as our controller which is also modeled by fuzzy rules. Both the discrete system case and the continuous system case are di...

Nonlinear weather optimal control of ships exposed to environmental disturbances is discussed. Emphasis is placed on weather vaning, that is the ship should be orientated such that the moment in yaw due to mean current, wind and wave forces is zero and at the same time maintain a "xed position and heading. The main problem in doing this is that the environmental forces acting on the ship are im...

(x1 − x̂1) 2 ] The Witsenhausen counterexample [Witsenhausen’68] is a distributed Linear-Quadratic-Gaussian problem for which nonlinear control laws outperform the optimal linear control law. The optimal control law is still elusive — and the non-Gaussian relaxation of the problem is known to be NPcomplete [Papadimitriou and Tsitsiklis ’86]. The counterexample has an implicit channel that makes ...

This paper presents the modelling and control of switched reluctance motor (SRM) for hybrid electric vehicle (HEV) application. Nonlinear characteristics of SRM are obtained using finite element analysis. The fuzzy logic controller is used to minimize the torque ripple which improves the average torque capability of SRM. Obtained results from the drive using fuzzy logic controller are compared ...

The motivation behind this paper is to seek alternative techniques to achieve a near optimal controller for non-linear systems without solving the analytical problem. In classical optimal control systems, the system states and optimization co-state parameters generate a two-point boundary value problem (TPBVP) using Pontryagin's minimum principle (PMP). The paper contributes a new fuzzy time-op...