This article suggests a design method of a hybrid output feedback for SISO continuous systems. We focus on continuous systems forwhich there exists a hybrid state feedback law. A local hybrid stabilizability and a (global) complete uniform observability are assumed to achieve the stabilization of an equilibriumwith a hybrid output feedback law. This is an existence result. Moreover, assuming th...

In order to facilitate language acquisition, when language learners speak incomprehensible utterances, a Dialog-based Computer Assisted Language Learning (DB-CALL) system should provide matching fluent utterances by inferring the actual learner’s intention both from the utterance itself and from the dialog context as human tutors do. We propose a hybrid inference model that allows a practical a...

In this article, we present a hybrid feedback approach to solve the navigation problem in $n$ -dimensional space containing an arbitrary number of ellipsoidal obstacles. The proposed algorithm guarantees both global asymptotic stabiliza...

Abstract: In this paper, in order to achieve tracking performance of uncertain fractional order chaotic systems an adaptive hybrid fuzzy controller is proposed. During the design procedure, a hybrid learning algorithm combining sliding mode control and Lyapunov stability criterion is adopted to tune the free parameters on line by output feedback control law and adaptive law. A weighting factor,...

This paper proposes a novel hybrid algorithm namely APSO-BFO which combines merits of Bacterial Foraging Optimization (BFO) algorithm and Adaptive Particle Swarm Optimization (APSO) algorithm to determine the optimal PID parameters for control of nonlinear systems. To balance between exploration and exploitation, the proposed hybrid algorithm accomplishes global search over the whole search spa...

Abstract: We propose the stabilization of nonlinear systems with singularities via switching piecewise bilinear (PB) control. The approximated model is fully parametric. Input-output (I/O) feedback linearization is applied to stabilize PB control systems. We construct piecewise Lyapunov-like function for each piecewise region and stabilize the state space using a hybrid control method. Examples...

A hybrid indirect and direct adaptive fuzzy output tracking control schemes are developed for a class of nonlinear multiple-input–multiple-output (MIMO) systems. This hybrid control system consists of observer and other different control components. Using the state observer, it does not require the system states to be available for measurement. Assisted by observer-based state feedback control ...

in many active noise control (anc) applications, an online secondary pathmodelling method that uses a white noise as a training signal is required. this paperproposes a new feedback anc system. here we modified both the fxlms and thevss-lms algorithms to raised noise attenuation and modelling accuracy for theoverall system. the proposed algorithm stops injection of the white noise at theoptimum...

For control-affine systems with a proper Lyapunov function, the classical Jurdjevic–Quinn procedure (see [22]) gives a well-known and widely used method for the design of feedback controls that asymptotically stabilize the system to some invariant set. In this procedure, all controls are in general required to be activated, i.e. nonzero, at the same time. In this paper we give sufficient condit...

Abstract—The design and implementation of the hybrid control method for a three-pole active magnetic bearing (AMB) is proposed in this paper. The system is inherently nonlinear and conventional nonlinear controllers are a little complicated, while the proposed hybrid controller has a piecewise linear form, i.e. linear in each subregion. A state-feedback hybrid controller is designed in this stu...