Yassine Manai

Bio: Yassine Manai is an academic researcher from École Normale Supérieure. The author has contributed to research in topics: Fuzzy control system & Fuzzy logic. The author has an hindex of 3, co-authored 15 publications receiving 48 citations.

New condition of stabilization for continuous Takagi-Sugeno fuzzy system based on fuzzy Lyapunov function

Abstract: This paper try to give a new stabilization condition of continuous Takagi-Sugeno fuzzy models. Using non-quadratic Lyapunov function, the new condition of stabilization are used in terms of linear matrix inequalities LMIs. To verify the robustness of this new condition, a numeric example is used.

New Condition of Stabilization of Uncertain Continuous Takagi-Sugeno Fuzzy System based on Fuzzy Lyapunov Function

Abstract: This paper deals with the stabilization of TakagiSugeno fuzzy models. Using non-quadratic Lyapunov function, new sufficient stabilization criteria with PDC controller are established in terms of Linear Matrix Inequality. Finally, a stabilization condition for uncertain system is given.

New Approach for Hardware/Software Embedded System Conception Based on the Use of Design Patterns

Abstract: This paper deals with a new hardware/software embedded system design methodology based on design pattern approach by development of a new design tool called smartcell. Three main constraints of embedded systems design process are investigated: the complexity, the partitioning between hardware and software aspects and the reusability. Two intermediate models are carried out in order to solve the complexity problem. The partitioning problem deals with the proposed hardware/software partitioning algorithm based on Ant Colony Optimisation. The reusability problem is resolved by synthesis of intellectual property blocks. Specification and integration of an intelligent controller on heterogeneous platform are considered to illustrate the proposed approach.

PI-Fuzzy Controller Conception with Design Pattern Based Approach

Abstract: This paper deals with a proposed strategy for embedded system design based on the design pattern approach and the concept of object-oriented, supported by unified modeling language (UML). It benefits from a set of methodologies as co-design approach design pattern approach, the language of unified models and abstraction of information. The new view in design strategy lays on a proposed design pattern we call Unified Structure. Further, it examines the specification and the integration of fuzzy controllers on a DSP board, in order to control the speed and the torque of a DC drive. For an experimental validation of this controller a simulation is carried out in order to generate the code to be integrated on the DSP board.

Robust Stabilization for Continuous Takagi-Sugeno Fuzzy System Based on Observer Design

Abstract: This paper investigates the influence of a new parallel distributed controller (PDC) on the stabilization region of continuous Takagi-Sugeno (T-S) fuzzy models. Using a nonquadratic Lyapunov function, a new sufficient stabilization criterion is established in terms of linear matrix inequality. The criterion examines the derivative membership function; an approach to determine state variables is given based on observer design. In addition, a stabilization condition for uncertain system is given. Finally, numeric simulation is given to validate the developed approach.

Stability analysis of fractional order systems based on T–S fuzzy model with the fractional order \alpha : 0<\alpha <1

Abstract: This paper addresses the problems of the robust stability and stabilization for fractional order systems based on uncertain Takagi–Sugeno fuzzy model. A sufficient condition of asymptotical stability for fractional order uncertain T–S fuzzy model is given, and a parallel distributed compensating fuzzy controller is designed to asymptotically stabilize the model. The sufficient conditions are formulated in the format of linear matrix inequalities. The fractional order T–S fuzzy model of a chaotic system, which has complex nonlinearity, is developed as a test bed. The effectiveness of the approach is tested on fractional order Rossler system and fractional order uncertain Lorenz system.

New condition of stabilization for continuous Takagi-Sugeno fuzzy system based on fuzzy Lyapunov function

Abstract: This paper try to give a new stabilization condition of continuous Takagi-Sugeno fuzzy models. Using non-quadratic Lyapunov function, the new condition of stabilization are used in terms of linear matrix inequalities LMIs. To verify the robustness of this new condition, a numeric example is used.

GPS/INS Integration Based on Dynamic ANFIS Network

Abstract: This article presents a new structure for solving global positioning system (GPS) outages for long periods without requiring any prior information about the characteristics of the inertial navigation system (INS) and GPS. Kalman filter (KF) is widely used in INS and GPS integration to present a forceful navigation solution by overcoming the GPS outage problems. However, KF is usually criticized for working under predefined models and for its observability problem of hidden state variables, sensor dependency, and linearization dependency. Therefore, this article proposes a dynamic adaptive neuro-fuzzy inference system (DANFIS) to predict the INS error during GPS outages based on the current and previous raw INS data. The proposed integrated system is evaluated using a real field test data. The performance of the proposed technique is also compared with the traditional artificial intelligence (AI) technique and KF. The results showed great improvements in positioning and especially in velocity for MEMS grade IMU and for different length of GPS outages.

Robust observer design for Sugeno systems with incremental quadratic nonlinearity in the consequent

Abstract: This paper is concerned with observer design for nonlinear systems that are modeled by T-S fuzzy systems containing parametric and nonparametric uncertainties Unlike most Sugeno models, the proposed method contains nonlinear functions in the consequent part of the fuzzy IF-THEN rules This will allow modeling a wider class of systems with smaller modeling errors The consequent part of each rule contains a linear part plus a nonlinear term, which has an incremental quadratic constraint This constraint relaxes the conservativeness introduced by other regular constraints for nonlinearities such as the Lipschitz conditions To further reduce the conservativeness, a nonlinear injection term is added to the observer dynamics Simulation examples show the effectiveness of the proposed method compared with the existing techniques reported in well-established journals

Nonlinear Disturbance Observer Based Robust Tracking Control of Pneumatic Muscle

Abstract: Presently pneumatic muscles (PMs) are used in various applications due to their simple construction, lightweight, and high force-to-weight ratio. However, pneumatic muscles are facing various problems due to their nonlinear characteristics and various uncertainties in real applications. To cope with the uncertainties and strong nonlinearity of a PM model, a nonlinear disturbance observer (NDO) is designed to estimate the lumped disturbance. Based on the disturbance observer, the tracking control of PM is studied. Stability analysis based on Lyapunov method with respect to our proposed control law is discussed. The simulation results show the validity, effectiveness, and enhancing robustness of the proposed methods.