Robust Tracking Control of Networked Control Systems: Application to a Networked DC Motor

Shi, Yang; Huang, Jian; Yu, Bo

doi:10.1109/tie.2012.2233692

Cited by 175 publications

(59 citation statements)

References 48 publications

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“…x the visual feedback of exercise for the patient is very important in rehabilitation, because, if the patient watches the virtual movement on the monitor, it is possible to activate intact neuronal systems that provide direct stimulation to motor areas affected by brain lesions. An interesting demanded function for these systems is the possibility of realizing a specific motion profile [42][43][44][45][46], whereas the common state of the art is based on the possibility of assigning an actuation motion, thus a proper system must realize a kinematic inversion [47][48][49] to transform a finger motion in an actuator motion and, then, properly optimize [50][51][52][53] the motion profile of the actuator to realize the desired finger motion, with an adequate control system [52][53][54].…”

Section: Future Developmentsmentioning

confidence: 99%

Review on Upper Limb Continuous Passive Motion Devices

Ragazzo

2016

MATEC Web of Conferences

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Abstract. The paper is devoted to a survey on the state of the art of elements and parts for the upper limb rehabilitation. As a matter of fact, the use of technological, and specifically of robotic, devices is entering in the habits of clinical approaches, due to their ability to work efficiently and to be able to obtain, at least, the same rehabilitation results of manual therapy. At the same time, the therapists can change his/her role in rehabilitation activity from a physical contribution to an intellectual/motivational one.

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Section: Future Developmentsmentioning

confidence: 99%

Review on Upper Limb Continuous Passive Motion Devices

Ragazzo

2016

MATEC Web of Conferences

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“…The ∞ framework considered here is based on a finite horizon definition of the gain and, consequently, the proposed extension of the disturbance input is sensible [21][22][23][24].…”

Section: Stochastic Pwa Model For Wecsmentioning

confidence: 99%

H∞ Fault Tolerant Control of WECS Based on the PWA Model

et al. 2014

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Abstract:The main contribution of this paper is the development of fault tolerant control for a wind energy conversion system (WECS) based on the stochastic piecewise affine (PWA) model. In this paper the normal and fault stochastic PWA models for WECS including multiple working points at different wind speeds are established. A reliable piecewise linear quadratic regulator state feedback is designed for the fault tolerant actuator and sensor. A sufficient condition for the existence of the passive fault tolerant controller is derived based on some linear matrix inequalities (LMIs). It is shown that the fault tolerant controller of WECS can control the wind turbine exposed to multiple simultaneous sensor faults or actuator faults; that is, the reliability of wind turbines can be improved.

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“…Specifically, the control scheme on the basis of the fuzzy dynamic models has aroused extensive interests due to its conceptual simplicity and rigorous effectiveness for the control of many nonlinear systems or even nonanalytic systems [13,14,15,16,17,18,19,20]. Basically, the key point of T-S fuzzy models is to employ a group of fuzzy rules to characterize a complex nonlinear system by virtue of a family of local linear models, which are smoothly blended through fuzzy membership functions [21,22].…”

Section: Introductionmentioning

confidence: 99%

T–S Fuzzy-Affine-Model-Based Reliable Output Feedback Control of Nonlinear Systems with Actuator Faults

Wei

Qiu

Peng

et al. 2017

Circuits Syst Signal Process

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This article presents a singular approach to the reliable H ∞ static output feedback (SOF) control for continuous-time nonlinear systems with Markovian jumping actuator faults. The nonlinear plants are approximated by a Takagi-Sugeno (T-S) fuzzy-affine (FA) model with parameter uncertainties, and the Markov process is adopted to characterize the actuator-fault phenomenon. Specifically, by utilizing a singular model transformation strategy, the initially constructed closedloop system is firstly converted into a singular FA system. By constructing a Markovian Lyapunov function (MLF), together with S-procedure and some matrix inequality convexification procedures, the reliable piecewise SOF controller synthesis is then developed for the underlying systems via a convex program. Lastly, simulation examples are carried out to validate the effectiveness of the presented method.

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Robust Tracking Control of Networked Control Systems: Application to a Networked DC Motor

Cited by 175 publications

References 48 publications

Review on Upper Limb Continuous Passive Motion Devices

Review on Upper Limb Continuous Passive Motion Devices

H∞ Fault Tolerant Control of WECS Based on the PWA Model

T–S Fuzzy-Affine-Model-Based Reliable Output Feedback Control of Nonlinear Systems with Actuator Faults

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