A hydraulic generator regulating system with electrical, mechanical, and constitution is a complex nonlinear system, which analyzed in this research. In the present study, dynamical behavior of investigated. Afterward, input/output feedback linearization theory exerted to derive controllable model system. Then, chaotic controlled using robust controller that uses Chebyshev neural network as dis...

The inverse of a non-minimum-phase system being unstable, standard input-output feedback linearization is not effective to control such systems. In this chapter is a presentation of a new tracking control method for the nonlinear non-minimum-phase system. Indeed, the main idea here is to dismiss a part of system dynamics in order to make the approximate system input-state feedback linearizable....

In the last few years, Run-to-Run (R2R) control techniques have been developed and used to control various processes in industries. These techniques combine response surface, statistical process control, and feedback control techniques. The R2R controller consists of a linear regression model that relates input variables to output variables using Exponentially Weighted Moving Average (EWMA). In...

Differential drive wheeled mobile robot (DDWMR) is one example of a with constrained movement, Multiple Input Output (MIMO), and nonlinear system. Designing low resource position heading controller using linear MIMO methods such as LQR became problem because the linearization dynamics at zero value. One solutions to design Single (SISO) controller. This work PID for DDWMR Jetbot selects best fe...

This paper addresses the problem of stabilization non-minimum phase switched nonlinear systems where internal dynamics with symmetries or non-symmetries each mode may be unstable. The authors initially build a stabilizing Lyapunov controller for in order to stabilize its own unstable dynamics. proposed approach is based on exact input-output feedback linearization technique and stability theory...

background: despite some successful dynamic simulation of self-impact double pendulum (sidp)-as humanoid robots legs or arms- studies, there is limited information available about the control of one leg locomotion. objective   : the main goal of this research is to improve the reliability of the mammalians leg locomotion and building more elaborated models close to the natural movements, by mod...

In the last few years, Run-to-Run (R2R) control techniques have been developed and used to control various processes in industries. These techniques combine response surface, statistical process control, and feedback control techniques. The R2R controller consists of a linear regression model that relates input variables to output variables using Exponentially Weighted Moving Average (EWMA). In...

The combination of model predictive control based on linear models (MPC) with feedback linearization (FL) has attracted interest for a number of years, giving rise to MPC+FL control schemes. An important advantage of such schemes is that feedback linearizable plants can be controlled with a linear predictive controller with a fixed model. Handling input constraints within such schemes is diffic...

The core factors governing the performance of active vehicle suspension systems (AVSS) are the inherent trade-offs involving suspension travel, ride comfort, road holding and power consumption. In addition to this, robustness to parameter variations is an essential issue that affects the effectiveness of highly nonlinear electrohydraulic AVSS. Therefore, this paper proposes a nonlinear control ...