In this paper we consider discrete-time nonlinear systems that are affected, possibly simultaneously, by parametric uncertainties and disturbance inputs. The min-max model predictive control (MPC) methodology is employed to obtain a controller that robustly steers the state of the system towards a desired equilibrium. The aim is to provide a priori sufficient conditions for robust stability of ...

A direct adaptive nonlinear control framework for multivariable nonlinear uncertain systems with exogenous L2 disturbances is developed. The proposed framework is Lyapunov-based and guarantees partial asymptotic stability of the closed-loop system; that is, asymptotic stability with respect to part of the closed-loop system states associated with the plant, as well as a nonexpansivity constrain...

this paper focuses on the effects of closed- control on the calculation of the dynamic load carrying capacity (dlcc) for mobile-base flexible-link manipulators. in previously proposed methods in the literature of dlcc calculation in flexible robots, an open-loop control scheme is assumed, whereas in reality, robot control is achieved via closed loop approaches which could render the calculated ...

In this paper, control of a non-isothermal continuous stirred tank reactor in which two parallel autocatalytic reactions take place has been addressed. The reactor shows chaotic behavior for a certain set of reactor parameters. In order to control the product concentration, an optimal state feedback controller has been designed. Since concentrations of reactor species are ...

This paper focuses on the effects of closed- control on the calculation of the dynamic load carrying capacity (DLCC) for mobile-base flexible-link manipulators. In previously proposed methods in the literature of DLCC calculation in flexible robots, an open-loop control scheme is assumed, whereas in reality, robot control is achieved via closed loop approaches which could render the calculated ...

This paper focuses on analyzing the finite-time convergence of a nonlinear consensus algorithm for multi-agent networks with unknown inherent nonlinear dynamics. Due to the existence of the unknown inherent nonlinear dynamics, the stability analysis and the finite-time convergence analysis of the closed-loop system under the proposed consensus algorithm are more challenging than those under the...

This paper presents a simple, but effective, design method for decentralized PI control systems with guaranteed closed-loop stability. Nyquist stability conditions are used to derive the stability region for each PI controller in terms of the controller parameters. A detuning factor for each loop is specified based on a diagonal dominance index. Then appropriate controller settings are determin...

This paper proposes a design method of generalized minimum variance control (GMVC) using strong stability rate. Strong stability rate is a novel and simple concept for plant safety, and it is defined by ratio of the open-loop gain and the closed-loop gain of controlled system through YoulaKucera parametrization. For safety, it is desirable that the open-loop output is closer to the closed-loop ...

We consider stability and robustness of feedback systems, where plant and compensator need not be strictly proper. In an earlier paper [1] we described a functional R∞ which, when negative, guarantees closed-loop instability as a result of parasitic interactions in the feedback loop. In our main result, Theorem 5, we prove that, when R∞ > 0, there exist perturbations of plant and compensator fr...

This paper is has addressed the Single Flexible Link Robot. The dynamical model is derived using Euler-Lagrange equation and then a proper controller is designed to suppress a  vibration based-on Input-Shaping (IS) method. But, IS control method is an open loop strategy. Due to the weakness of open loop control systems, a closed loop IS control system is proposed. The achieved closed loop c...