The application of the Sliding Mode Thermal Control System to laser spectroscopic system is proposed. An adaptive controller is designed based on results obtained in the sphere of discontinuous system design. The derived Sliding Mode (SM) control algorithm should improve the control performance of the important characteristic of systems such as the thermal field of the oven. The suggested contr...

|A novel continuous control system is proposed which guarantees robust tracking in nite time for uncertain robot arms subject to unknown dynamic friction. To achive this result, several novel algorithms were combined: a.a dynamic adaptive sliding mode control; b.a time base generator to yield a time-varing gain, which allows to obtain nite time convergence; c.continuous parametrization to compe...

The purpose of this paper is the design of neural network-based adaptive sliding mode controller for uncertain unknown nonlinear systems. A special architecture adaptive neural network, with hyperbolic tangent activation functions, is used to emulate the equivalent and switching control terms of the classic sliding mode control (SMC). Lyapunov stability theory is used to guarantee a uniform ult...

In this paper, we present a formation control strategy for a group of agents modeled as Euler-Lagrange systems. The formation is achieved by means of a desired kinematic model generated by artificial potentials. The system uncertainties are compensated by binary adaptive control which combines the good transient properties and robustness of Sliding Mode Control with the desirable steady-state p...

The robust sliding mode control problem of a class of uncertain hybrid linear systems with Markovian jump parameters is considered. Under the assumption of unknown upper bounds matched system uncertainties, the sufficient conditions are proposed to guarantee exponentially stable in mean square of reduced-order sliding mode system. Under the conditions of unknown upper bounds of system uncertain...

Based on the Lyapunov stability theorem, a methodology for designing a decentralised adaptive sliding mode control scheme is proposed in this paper. This scheme is implemented for a class of large-scale systems with both matched and mismatched perturbations. The perturbations and the interconnection terms are assumed to be norm bounded under certain mild conditions. The decentralised sliding su...

An innovative adaptive control method for speed control of induction motor based on field oriented control is presented in this paper. The fusion of sliding-mode and type-2 neuro fuzzy systems is used to control this system. An online learning algorithm based on sliding-mode training algorithm, and type-2 fuzzy systems is employed to deal with parametric uncertainties and disturbances, by adjus...

This paper presents a novel approach to the design of an adaptive fuzzy sliding mode controller for depth control of an autonomous underwater vehicle (AUV). So far, AUV’s dynamics are highly nonlinear and the hydrodynamic coefficients of the vehicles are difficult to estimate, because of the variations of these coefficients with different operating conditions. These kinds of difficulties cause ...

Parameter identification scheme and discrete-time adaptive sliding-mode controller applied to Pioneer 3-DX wheeled mobile robot (WMR) are presented in this paper. The dynamical model for mobile robot with one pair of active wheels, time–varying mass and moment of inertia have been used in slidingmode control. Two sliding-mode controllers corresponding to angular and position motion have been de...

This paper focuses on the design of a formation controller for multi-robot dynamic systems using adaptive fuzzy sliding-mode techniques. From the Lagrangian analysis, the dynamic model of a differential wheeled robot can be obtained. A fuzzy sliding-mode controller is derived for leader-follower formation control based on graph theory and consensus algorithm. Moreover, an adaptive law is provid...