Optimal control is one of the most important branches in modern control theory, and linear quadratic regulator (LQR) has been well used and developed in linear control systems. However, there would be several problems in employing LQR to uncertain nonlinear systems. The optimal LQR problem for nonlinear systems often leads to solving a nonlinear two-point boundary-value (TPBV) problem (Tang et ...

Abstract A cascade technique with two control loops is designed for a DC \ Buck‐Boost converter that right half‐plane zero (RHPZ) structure called non‐minimum phase system. This concept presents several challenging constraints designing well‐behaved techniques. Cascade controllers can provide various benefits compared single loop such as higher safety, robustness, and stability. strategy assume...

non-linear characteristic of tire forces is the main cause of vehicle lateral dynamics instability, while direct yaw moment control is an effective method to recover the vehicle stability. in this paper, an optimal linear quadratic regulator (lqr) controller for roll-yaw dynamics to articulated heavy vehicles is developed. for this purpose, the equations of motion obtained by the matlab softwar...

This paper considers application of L1 adaptive output feedback controller to a missile longitudinal autopilot design. The proposed adaptive controller has satisfactory performance in the presence of parametric uncertainties and time-varying disturbances. Simulations demonstrate the benefits of the control method and compare the results to Linear Quadratic Regulator (LQR) and Linear Quadratic G...

The ball and beam system is a laboratory equipment with high nonlinearity in its dynamics. The aims of this research are to model the ball and beam system considering nonlinear factors and coupling effect and to design controllers to control the ball position. The LQR is designed considering two Degrees-of-Freedom and

The paper aims to identify and control the coupled mass-spring-damper system. A nonlinear discrete polynomial structure is elaborated. Its parameters are estimated using Recursive Least Squares (RLS) algorithm. Moreover, a feedback stabilizing control law based on Kronecker power is designed. Finally, simulations are presented to illustrate the effectiveness of the proposed structure. Keywords—...

The paper deals with application of the disturbance-observer (DO) based control to a quarter car active suspension system with uncertain parameters.The DO counteracts disturbances by feedforward compensation computed on the basis of the control input, the state feedback and the nominal system model. The proposed control scheme is verified experimentally on a mechatronic laboratory model. Słowa ...