This study introduces a mixed 2 fuzzy output feedback control design method for nonlinear systems with guaranteed control performance. First, the Takagi and Sugeno fuzzy model is employed to approximate a nonlinear system. Next, based on the fuzzy model, a fuzzy observer-based mixed 2 controller is developed to achieve the suboptimal 2 control performance with a desired disturbance rejection co...

We interpret economic MPC as a scheme that trades off economic performance and stability. We use this notion to design an economic MPC controller that exploits the inherent robustness of a stable auxiliary MPC controller to enhance economic performance. Specifically, we incorporate a flexible stabilizing constraint to the economic MPC formulation that preserves stability of the auxiliary contro...

This paper develops a design of feedforward control for descriptor system with unmeasurable disturbance which are either nonregular or if it is regular, has impulsive mode. To solve this problem, we will transform descriptor system into regular state space system using the output feedback. First, fault detection and isolation(FDI) approach using sliding mode observer is applied for estimating u...

A direct adaptive non-linear control framework for multivariable non-linear uncertain systems with exogenous bounded disturbances is developed. The adaptive non-linear controller addresses adaptive stabilization, disturbance rejection and adaptive tracking. The proposed framework is Lyapunov-based and guarantees partial asymptotic stability of the closed-loop system; that is, asymptotic stabili...

In this paper, a data-driven model-free design method of PID controller is proposed for a single-input single-output linear time-invariant plant for a loop shaping problem where the integral gain is maximized under the maximum sensitivity constraint. This design problem is reduced to a linear programming problem. The constraints on the PID gains are given from many fictitious data, which are ob...

This paper addresses the problem of optimal control system design for networked control systems. We focus on a situation where the plant is single-input single-output and the communication link between the controller and the plant is signal-to-noise ratio constrained. In this setting, we characterize the controllers that minimize the tracking error variance, while respecting the channel signal-...

This paper addresses the design procedure of a fuzzy logic-based adaptive approach for DFIGs to enhance automatic generation control (AGC) capabilities and provide better dynamic responses in multi-area power systems. In doing so, a proportional-integral (PI) controller is employed in DFIG structure to control the governor speed of wind turbine. At the first stage, the adjustable parameters of ...

This paper deals with the problem of sparseH∞ dynamic output-feedback control of LTI interconnected systems with polytopic uncertainty. The main objective is to find a controller structure with minimum information exchange between subsystems and local controllers such that stability condition as well as an H∞ performance criterion are satisfied. To this end, an optimization problem is defined w...

In this paper, we deal with the bounded real lemma for stochastic singular systems with multiplicative noises. Based on the adaptation of Itô calculus, the admissibility for this class of systems is defined and the bounded real lemma is derived using the mean square exponential stability. This lemma is then used to synthetize a H∞ output feedback controller for the considered class of systems t...

This paper shows the design of predictive controllers using the predictor, designed from the subspace matrices, obtained directly from the input/output data. The model-free design approach presented in the literature so far does not include all the important predictive control features such as inclusion of an integrator for offset-free control, constraint handling, feedforward option and a mean...