In this paper, a new approach for designing an adaptive fuzzy model predictive control (AFMPC) based on the ant colony optimization (ACO) is proposed. On-line adaptive fuzzy identification is introduced to identify the system parameters. These parameters are used to calculate the objective function based on a predictive approach and structure of RST control. Then the optimization problem is sol...

In AC-DC power conversion, active front end rectifiers offer several advantages over diode rectifiers such as bidirectional power flow capability, sinusoidal input currents and controllable power factor. A digital finite control set model predictive controller based on fixed-point computations of an active front end rectifier with unity displacement of input voltage and current to improve dynam...

Impedance control has been suggested as the strategy employed by the central nervous system to control human postures and movements. A realization of this strategy is presented that uses a model predictive control algorithm as a higher motor controller. External disturbances are explicitly included in the model. The combination of 3 key factors-joint impedance control, model predictive controll...

This paper provides a solution to the problem of robust output feedback model predictive control of constrained, linear, discrete-time systems in the presence of bounded state and output disturbances. The proposed output feedback controller consists of a simple, stable Luenberger state estimator and a recently developed, robustly stabilizing, tube-based, model predictive controller. The state e...

This paper investigates the application of the product-sum crisp type fuzzy model linearization technique and the multistep predictive control strategy for the construction of a model-based predictive fuzzy controller. A model-based predictive controller is based on a local linear approximate model generated by using the proposed linearization technique that linearizes the product-sum crisp typ...

Background: Diabetes mellitus (DM) is a common chronic disease with diverse complications. About 10% of the earth's population suffer from this disease. For smart control of the blood glucose in DM patients, an artificial pancreas was designed and simulated by a predictive sliding mode controller considering the time delay of insulin effect. Method: In this method, one of the time-delay glucos...

In this paper a predictive controller for real-time target tracking in mobile robotics is proposed based on adaptive/evolving Takagi-Sugeno fuzzy systems, eTS. The predictive controller consists of two modules; i) a conventional fuzzy controller for robot motion control, and ii) a modelling tool for estimation of the target movements. The prediction of target movements enables the controller to...

The continuous stirred-tank reactor with uncertain parameters was stabilized in the open-loop unstable steady state using the robust model predictive control. The gain matrices of the robust state-feedback controller were designed using the nominal system optimization and the quadratic parameter-dependent Lyapunov functions. The controller was verifi ed by simulations using the non-linear model...

The analysis study has been done for a First Order Plus Delay Time (FOPDT) model controlled by Proportional Integral Derivative (PID), proportional integral(PI),Internal Model Controller(IMC) and Model Predictive Control (MPC) using MATLAB software. The study has been done for both MPC and conventional control methods to design the controller for the level tank system and the results has been c...