this paper introduces a technique for controlling a class of uncertain chaotic systems using an adaptive fuzzy proportional-integrator-derivative (pid) controller with h∞ tracking performance. the purpose of this work is to achieve optimal tracking performance of the controller using backtracking search algorithm (bsa). bsa, which is a novel heuristic algorithm, has an easy structure with singl...

We proposed a fuzzy control scheme to implement the cycle-to-cycle control for restoring swing phase of gait using functional electrical stimulation (FES). We designed two fuzzy controllers for the biceps femoris short head (BFS) and the vastus muscles to control flexion and extension of the knee joint during the swing phase. Control capabilities of the designed fuzzy controllers were tested an...

In this paper, we propose a design method of an adaptive PID controller based on output feedback for nonlinear systems with a higher order relative degree and disturbances. To realize an adaptive PID control system, we introduce a PFC for a nonlinear system which does not satisfy OFEP(Output Feedback Exponentially Passive) conditions and design an adaptive feedforward input with a structure of ...

This paper deals with a design problem of an adaptive and performance-driven PID control with an adaptive Neural Network (NN) feedforward control for discrete-time systems with a parallel feedforward compensator (PFC). By adopting PFC design scheme based on FRIT approach, which can design PFC only using an input/output experimental data, a performance-driven adaptive PID control will be propose...

Under-actuated robot manipulator is a kinematic chain wherein total degree of the freedom of the mechanism is more than actuators. Under actuated manipulators are advantageous from the minimalism viewpoint in robotics where a task is performed with less energy consuming actuations. In fact dynamic of the mechanism is exploited instead of fighting it [1][2]. Moreover, studies on under-actuated c...

in this paper, the enhancement of vehicle stability and handling is investigated by control of the active geometry suspension system (ags). this system could be changed through control of suspension mounting point’s position in the perpendicular direction to wishbone therefore the dynamic is alternative and characteristics need to change. for this purpose, suitable controller needs to change mo...

This paper presents an application of the intelligent search technique for the parameters optimization of conventional automatic generation control (AGC) systems. An efficient intelligent search technique, which is Adaptive Tabu Search (ATS), is employed to demonstrate the effectiveness of the intelligent search techniques in the tuning of the AGC parameters. A two-area non-reheat thermal syste...

Brushless DC (BLDC) motors are widely used for many industrial applications because of their high efficiency, high torque and low volume. In view of the problem that the current control method of speed regulation system of BLDC motor has poor control effect caused by fixed parameters of PID controller, an adaptive PID algorithm with quadratic single neuron (QSN) was designed. Quadratic performa...

This paper addresses analysis and design issues in adaptive PID control for linear second order minimal phase processes using the backstepping algorithm. The first step consists in adding an integral action to the basic backstepping algorithm to obtain a zero static error. An integrator is therefore added to the plant model and is then slid back to the controller equation at the end of the desi...

The studies of CNG/gasoline dual-fuel engine system model are relatively few. The design deficiencies of CNG/gasoline dual-fuel engine speed controller exist. In this paper, the design and simulation of CNG/gasoline engine speed controller based on Matlab were put forward. On the basis of reasonable CNG engine model, the digital PID speed controller and adaptive fuzzy PID speed controller model...