This brief addresses the problem of designing a filter for class fuzzy dynamical systems that guarantees that: 1) L/sub 2/ gain from an exogenous input to error is less or equal prescribed value and 2) quadratically stable in prespecified linear matrix inequality (LMI) stability region. Based on LMI approach, solutions H/sub /spl infin// filtering with quadratic D are derived terms family LMIs. Numerical simulation examples presented illustrate theory development.

This article addresses the problem of continuous-time dynamic sliding mode control for Takagi-Sugeno fuzzy nonlinear systems based on an event-triggered mechanism. First, a novel system is established by introducing corresponding function and efficient Then, new Lyapunov reciprocally convex method, sufficient conditions are presented to guarantee that constructed network dynamics asymptotically stable. It shown trajectories can converge into bounded domain surface in finite time....

This paper addresses the problem of designing an H/sub /spl infin// filter for a class nonlinear singularly perturbed systems described by Takagi-Sugeno (TS) fuzzy model. Based on linear matrix inequality (LMI) approach, we develop controller that guarantees i) L/sub 2/-gain from exogenous input to error is less than or equal prescribed value and ii) poles each local are within prespecified region. In order alleviate ill-conditioning resulting interaction slow fast dynamic modes, solutions...

The proportional-integral-derivative (PID) controller are widely applied with the electro-hydraulic servo system since it is easily to implement and highly efficient. optimal tuning PID parameter that can increase performance of control system. Thus, this paper considered optimization technique Genetic Algorithm (GA) for other techniques compared, obtained results shown genetic algorithm optimized provide an improved closed-loop performed than Ziegler- Nichols, method automatic particle swarm (PSO).

The main contribution of this paper is to develop a new flowmeter fault detection approach based on optimized non-singleton type-3 (NT3) fuzzy logic systems (FLSs). introduced method implemented an experimental gas industry plant. system modeled by NT3FLSs, and the faults are detected comparison measured end estimated signals. In scheme, detecting performance depends estimation modeling performance. suggested NT3FLS used because existence high level measurement errors uncertainties in...

Economic efficient Autonomous Road Vehicles (ARVs) are invariably subjected to uncertainties and perturbations. Therefore, control of vehicle systems requires stability withstand the effect variations in nominal performance. Lateral path-tracking is a substantial task ARVs, especially critical maneuvering cornering with variable speed. In this study, new controller on basis interval type-3 (T3) fuzzy logic system (FLSs) designed. The main novelties advantages as follows. (1) uncertainty...

This paper offers an improved finite time sliding mode controller scheme for a class of robotic manipulators with external disturbances. Since conventional controllers have discontinuous signum function, important problem called chattering phenomenon can occur in them. The proposed presents new Lyapunov candidate functional containing absolute function based on fractional power the switching surface such that designed control law is continuous and smooth. recommended technique using...

This paper examines the problem of designing an H/sub /spl infin// output feedback controller with pole placement constraints for singular perturbed Takagi-Sugeno (TS) fuzzy models. We propose a that not only guarantees Lscr//sub 2/-gain mapping from exogenous input noise to regulated be less than some prescribed value, but also ensures closed-loop poles each subsystem are in prespecified linear matrix inequality (LMI) region. In order alleviate numerical stiffness caused by perturbation...

This paper proposes an adaptive non-singular fast terminal sliding mode control (FTSMC) with integral surface for the finite time tracking of nonlinear systems external disturbances. An appropriate parameter-tuning adaptation law is derived to tackle A new scheme self-tuning algorithm proposed synthesize approach. The approach has following features: 1) It does not require derivative fractional power terms respect time, thereby eschewing singularity problem typically associated TSMC; 2)...

In this study, an adaptive barrier procedure is combined with nonsingular sliding mode control (SMC) technique at the aim of fast stabilization nonlinear system external disturbances. It verified that barred function-based law leads to convergence state errors a region near origin. Furthermore, suggested method eradicates requirement for knowledge upper bounds exterior perturbations which are frequently required in SMC scheme. The stability analysis confirms error states predetermined...

The remarkable properties of sliding mode control (SMC)—such as robustness, accuracy, and ease implementation—have contributed to its wide adoption by the community. To accurately compensate for parametric uncertainties, switching part SMC controller should have gains that are sufficiently large deal with but small minimize chattering phenomena. Hence, proper adjustment is crucial ensure accurate robust performance whist minimizing chattering. This paper proposes design implementation an...

This article investigates the prescribed performance control problem associated with attitude stabilization of a rigid body, considering angular velocity constraint, actuator faults, and input saturation. The desired specifications in transient steady-state phases including convergence speed, overshoot, value for variable are also provided. To this end, methodology is combined backstepping-based barrier Lyapunov function so as to develop controller simple structure compared existing...

This paper presents an optimal Proportional Integral Derivate (PID) controller design for Automatic Voltage Regulator (AVR) system using a new hybrid devised from the Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA). The transient response analysis bode were considered to show effectiveness of technique. Moreover, comparison results between proposed approach other techniques such as Ziegler-Nichols (ZN) tuning method, (PSO) method Many Optimizing Liaisons (MOL) have...

This paper concentrated on the design of PID controller for air heater temperature control system. It is appeared that controllers are utilized in many industrial applications. However, major problem how to identify optimal parameters so performance system can be obtained. Then, this proposes Particle Swarm Optimization (PSO) method tuning heater. The simulation results achieved PSO optimized able provide an improved closed-loop performances over Ziegler-Nichols method, and Genetic Algorithm...

This paper proposes a barrier function-based adaptive control strategy with nonlinear sliding surface for class of uncertain dynamic systems input saturation. Its main objectives are to ensure robustness parametric and non-parametric uncertainties whilst eliminating the reaching phase. A global switching is defined an function mode approach derived. The adopted convergence states desired values without overestimating gains. System stability analyzed using Lyapunov theory. parameters obtained...

This study presents a new approach for active fault-tolerant controller (FTC) design constrained nonlinear multi-variable systems. The proposed utilize the model predictive (NMPC) and fault estimation method which is on basis of extended kalman filters (EKFs). deficiency actuators sensors also plant states measurement errors are estimated by suggested approach. A supervisor unit using information modeling per sampling time, corrects predictor compensates actuator sensor faults in control...

To improve the performance, robustness and stability of autotuning proportional integral derivative (PID) parameter, novel stable particle swarm optimization (NSPSO) is proposed in this paper. The NSPSO combination algorithm with new rule to reconsider survival remaining search space for handling instability system. based on proving according Lypunov theorem. Additionally, show method's superiority performance robustness, method compared results simulations (PSO), hybrid optimization-grey...

Abstract A novel optimal proportional integral derivative (PID) autotuning controller design based on a new algorithm approach, the “swarm learning process” (SLP) algorithm, is proposed. It improves convergence and performance of PID parameter by applying swarm concepts. Its verified two methods, global characteristic convergence. In case convergence, rule random search employed to judge, Markov chain modelling used analyse. The superiority proposed method, in terms performance, through...

Proportional-integral-derivative (PID) control is the most widely used law in industrial processes. Although various new controllers continue to emerge, PID are still a dominant position due their simple structure, easy implementation, and good robustness. In design application of controllers, one core issues parameter tuning. Accurately effectively selecting best tuning parameters key achieving an effective controller. Therefore, this paper proposes novel modified monkey-multiagent DRL...