- Hendel RimEngineering PhD QUERE Laboratory, Engineering Faculty, University of Setif 1, Algeriaedit
In this paper, a novel robust adaptive type-2 fuzzy nonsingular sliding mode controller is proposed to stabilize the unstable periodic orbits of uncertain perturbed chaotic system with internal parameter uncertainties and external... more
In this paper, a novel robust adaptive type-2 fuzzy nonsingular sliding mode controller is proposed to stabilize the unstable periodic orbits of uncertain perturbed chaotic system with internal parameter uncertainties and external disturbances. This letter is assumed to have an affine form with unknown mathematical model, the type-2 fuzzy system is used to overcome this constraint. A global nonsingular terminal sliding mode manifold is proposed to eliminate the singularity problem associated with normal terminal sliding mode control. The proposed control law can drive system tracking error to converge to zero in finite time. The adaptive type-2 fuzzy system used to model the unknown dynamic of system is adjusted on-line by adaptation law deduced from the stability analysis in Lyapunov sense. Simulation results show the good tracking performances, and the efficiently of the proposed approach.
Research Interests: Control Systems Engineering, Numerical Analysis, Control Systems, Fuzzy Logic, Fuzzy Systems, Control Fuzzy Systems, Smart Home Security System using Fuzzy Logic, and 17 moreFuzzy Logic Based Hydro-Electric Power Dam Control System, Autonomous Room Air Cooler Using Fuzzy Logic Control System, Elevator Control System Using Fuzzy Logic, Pitch Control system by Fuzzy Logic Controller, Neural Networks, Fuzzy Logic System, Graphic Modelling, Fuzzy logic & Fuzzy systems, Type-2 Fuzzy Logic Systems, Neural Network and Fuzzy Logic System for Tsunami Detection, Interval Type 2 Fuzzy Logic System, A cluster head decision system for sensor networks using fuzzy logic and number of neighbor nodes, Neuro Fuzzy Logic Based Systems, Extended Kalman Filter Tuning for Type 2 Fuzzy Logic Systems, Fuzzy Logic Control C Code for Magnetic Levitation System, Power System Reliability, Control and Stability / FACTS Devices and Their Control / Distributed Generation / Renewable and Green Energies / PHEV / Optimization / NN and Fuzzy Logic, Controller Design Using Artificial Neural Fuzzy Logic for Grid Integration of Hybrid Energy System, Load Frequency Control of Power System Transient Using Fuzzy Logic, and Fuzzy Logic, Artificial Neural Networks (ANN) and Neuro-fuzzy Logic Systems
In this paper, a novel robust adaptive type-2 fuzzy nonsingular sliding mode controller is proposed to stabilize the unstable periodic orbits of uncertain perturbed chaotic system with internal parameter uncertainties and external... more
In this paper, a novel robust adaptive type-2 fuzzy nonsingular sliding mode controller is proposed to stabilize the unstable periodic orbits of uncertain perturbed chaotic system with internal parameter uncertainties and external disturbances. This letter is assumed to have an affine form with unknown mathematical model, the type-2 fuzzy system is used to overcome this constraint. A global nonsingular terminal sliding mode manifold is proposed to eliminate the singularity problem associated with normal terminal sliding mode control. The proposed control law can drive system tracking error to converge to zero in finite time. The adaptive type-2 fuzzy system used to model the unknown dynamic of system is adjusted on-line by adaptation law deduced from the stability analysis in Lyapunov sense. Simulation results show the good tracking performances, and the efficiently of the proposed approach.
Research Interests: Signal Processing, Scientific Computing, Lyapunov Stability Theory, Chaotic Systems, Secure Communication, and 7 moreInterval Type 2 Fuzzy Logic System, Simulation and Training in Civil Applications, Mechanical System Modeling and Control, Systems and automation, Nonsingular Terminal Sliding Mode Control, Sampled-data control systems and digital control, and Scientific and engineering modeling
In this paper, a novel adaptive type-2 fuzzy sliding mode control is designed. In order to stabilize the unstable periodic orbits of uncertain perturbed chaotic system. This letter is assumed to have an affine... more
In this paper, a novel adaptive type-2 fuzzy sliding mode control is designed. In order to stabilize the unstable periodic orbits of uncertain perturbed chaotic system. This letter is assumed to have an affine form with unknown mathematical model, the type-2 fuzzy system is used to overcome this constraint. For sliding mode, adaptive fuzzy type 2 systems have been introduced in order to generate the switching signal to avoid both the chattering and the constraint on the knowledge of upper bounds disturbances and uncertainties. These adaptive fuzzy type-2 systems are adjusted on-line by adaptation laws deduced from the stability analysis in Lyapunov sense. Simulation results show the good tracking performances by using the proposed approach.
Research Interests:
In this paper, by using a combination of fuzzy identification and the sliding mode control, a novel adaptive interval type-2 fuzzy sliding mode control is proposed for unknown non linear system. The AIT2FSMC system is constructing of a... more
In this paper, by using a combination of fuzzy identification and the sliding mode control, a novel adaptive interval type-2 fuzzy sliding mode control is proposed for unknown non linear system. The AIT2FSMC system is constructing of a fuzzy control design and a hitting Control design. In the first, an interval type 2 fuzzy controller is designed to affect a feed-back linearization (FL) control law. In the second, a hitting controller is designed to compensate the approximation error between the FL control law and the interval type-2 fuzzy controller. The parameters of the interval type-2 fuzzy controller, as well as the uncertainty bound of the approximation error, are tuned adaptively. The adaptive laws are derived in the sense of Lyapunov stability theorem, thus the stability of the system can be guaranteed. Two examples illustrate the feasibility of the proposed method.
Research Interests:
In this paper, a novel robust adaptive type-2 fuzzy nonsingular sliding mode controller is proposed to stabilize the unstable periodic orbits of uncertain perturbed chaotic system with internal parameter... more
In this paper, a novel robust adaptive type-2 fuzzy nonsingular sliding mode controller is proposed to stabilize the unstable periodic orbits of uncertain perturbed chaotic system with internal parameter uncertainties and external disturbances. This letter is assumed to have an affine form with unknown mathematical model, the type-2 fuzzy system is used to overcome this constraint. A global nonsingular terminal sliding mode manifold is proposed to eliminate the singularity problem associated with normal terminal sliding mode control. The proposed controllaw can drive system tracking error to converge to zero in finite time. The adaptive type-2 fuzzy system used to model the unknown dynamic of system is adjusted on-line by adaptation law deduced from the stability analysis in Lyapunov sense. Simulation results show the good tracking performances, and the efficiently of the proposed approach.
Research Interests:
In this paper, a novel robust adaptive type-2 fuzzy nonsingular sliding mode controller is proposed to stabilize the unstable periodic orbits of uncertain perturbed chaotic system with internal parameter uncertainties and external... more
In this paper, a novel robust adaptive type-2 fuzzy nonsingular sliding mode controller is proposed to stabilize the unstable periodic orbits of uncertain perturbed chaotic system with internal parameter uncertainties and external disturbances. This letter is assumed to have an affine form with unknown
mathematical model, the type-2 fuzzy system is used to overcome this constraint. A global nonsingular terminal sliding mode manifold is proposed to eliminate the singularity problem associated with normal terminal sliding mode control. The proposed control law can drive system tracking error to converge to zero in finite time. The adaptive type-2 fuzzy system used to model the unknown dynamic of system is
adjusted on-line by adaptation law deduced from the stability analysis in Lyapunov sense. Simulation results show the good tracking performances, and the efficiently of the proposed approach.
mathematical model, the type-2 fuzzy system is used to overcome this constraint. A global nonsingular terminal sliding mode manifold is proposed to eliminate the singularity problem associated with normal terminal sliding mode control. The proposed control law can drive system tracking error to converge to zero in finite time. The adaptive type-2 fuzzy system used to model the unknown dynamic of system is
adjusted on-line by adaptation law deduced from the stability analysis in Lyapunov sense. Simulation results show the good tracking performances, and the efficiently of the proposed approach.