Almost Model Following Control for Nonlinear Systems

Robust Model Predictive Control for a Class of Discrete Nonlinear systems

This paper presents a robust model predictive control scheme for a class of discrete-time nonlinear systems subject to state and input constraints. Each subsystem is composed of a nominal LTI part and an additive uncertain non-linear time-varying function which satisfies a quadratic constraint. Using the dual-mode MPC stability theory, a sufficient condition is constructed for synthesizing the ...

Model-Following Control of Nonlinear Systems Based on Virtual Constraints

In this study, we propose a nonlinear model-following control for underactuated systems. A model-following control design is based on the virtual constrains. The concept of virtual constraints control proposed by Shiriaev et. al. The model-following control is useful to realize the tracking system to a given reference model. In underactuated systems, a modelfollowing control for fullactuated sy...

Fuzzy Model-based Model Following Control for a Class of Nonlinear Systems

This paper presents nonlinear model following control for a class of nonlinear systems using the fuzzy model-based control approach. We propose the construction method of augmented fuzzy control system for continuous-time nonlinear systems by differentiating the original nonlinear system. Moreover, we introduce the dynamic fuzzy controller which can make outputs of the nonlinear system converge...

Model reduction for nonlinear control systems

Optimal Control of Nonlinear Multivariable Systems

This paper concerns a study on the optimal control for nonlinear systems. An appropriate alternative in order to alleviate the nonlinearity of a system is the exact linearization approach. In this fashion, the nonlinear system has been linearized using input-output feedback linearization (IOFL). Then, by utilizing the well developed optimal control theory of linear systems, the compensated ...