Parametric linear constant and gain-scheduled control systems design are studied for a class of linear parameter varying (LPV) systems and piecewise linear (PL) systems based on stabilization via convexity restrictions. Specifically, the maximum row sum (matrix) norm is utilized to obtain a computationally attractive state space method for the scheduling of simple linear controllers under incom...

University of Strathclyde Abstract This paper investigates the application of the gain-scheduling approach to flight control tasks where the conditions required by conventional techniques need not be satisfied. The conditions required by conventional techniques are progressively relaxed and the design of gain-scheduled controllers under a range of conditions is addressed. In particular, the pap...

The economic and stable operation was affected seriously by coal quality disturbance for power plants. Based on model analysis, influence of the disturbance can be considered as gain change of control system. Power capability coefficient of coal was constructed to inhibit it. Accuracy of the coefficient was verified by operating data. Then coal quality disturbance free system based on gain sche...

This paper is an extension of the previous work realized by the authors. Here a discrete-time multiple input multiple output (MIMO) linear parameter-varying (LPV) controller is designed, a polynomial approximation for disturbances with harmonically related frequencies to reduce the number of gain-scheduling parameters is used and the controller is validated experimentally for the rejection of t...

A new approach to gain scheduling linear dynamic controllers is illustrated on a pitch-axis autopilot design problem. In this application the linear controllers are designed at distinct operating conditions by H-Innnity methods. The gain scheduling procedure uses particular features of both the linear dynamic controllers and the controller connguration to remove so-called hidden coupling terms ...

The aim of this paper is to discuss the use of gain scheduling to improve the performance of classical AQM controllers. We show that by using gain scheduling it is possible to synthesize controllers able to better cope with unwanted variations of the network operating regime; for example variations of the round-trip time, the load or the buffer capacities. Simulations are provided to compare th...

We present a control design method for nonlinear partial differential equations (PDEs) based on a combination of gain scheduling and backstepping theory for linear PDEs. A benchmark first-order hyperbolic system with an in-domain nonlinearity is considered first. For this system a nonlinear feedback law, based on gain scheduling, is derived explicitly, and a proof of local exponential stability...

This paper provides design and implementation of a DC-DC boost converter control system by using gain scheduling PI-controller to achieve stable regulated output voltage with improved dynamic performance. The proposed controller parameters are obtained from system output response based on step input signal. A test step input is applied to the system and the three parameters of the plant are obt...

This letter proposes the fuzzy logic-based fast gain scheduling(FFGS) controller for regulation problem in nonlinear systems. It utilizes the fuzzy scheduling variable which reeects the derivative information on the original scheduling variable in order to achieve better performance than the existents.

In this study, we investigated the influence of mood on a production scheduling managerial task by comparing the effects of positive and neutral mood on individual judgments and their accuracy. When the subjects have been exposed to the task and thus have gained experience doing the task, the subjects in a positive mood performed significantly better than the subjects in a neutral mood.