Jing Li David Niemann Hua O. Wang Department of Electrical and Computer Engineering Duke University, Durham, NC 27708, U.S.A Abstract This paper deals with control design for the motion control of high-rise/high-speed elevators. Two main problems, tracking and releveling, are treated in the framework of output regulation problem. By doing this, we design a single controller satisfying both perf...

An architecture for implementation of multivariable controllers is presented in this paper. The architecture is based on the Youla-Jabr-Bongiorno-Kucera parameterization of all stabilizing controllers. By using this architecture for implementation of multivariable controllers, it is shown how it is possible to change from one multivariable controller to another multivariable controller online i...

A new method for robust fixed-order H∞ controller design for uncertain time-delay systems is presented. It is shown that the H∞ robust performance condition can be represented by a set of convex constraints with respect to the parameters of a linearly parameterized primary controller in the Smith predictor structure. Therefore, the parameters of the primary controller can be obtained by convex ...

This paper presents an application of the recently developed theory of language-measure-based discrete event supervisory (DES) control to aircraft propulsion systems. A two-layer hierarchical architecture is proposed to coordinate the operations of a twin-engine propulsion system. The two engines are individually controlled to achieve enhanced performance and reliability, as necessary for fulfi...

This paper develops a new method for the synthesis of Linear Parameter-Varying (LPV) controllers in discrete time. LPV plants under consideration have a Linear Fractional Transformation (LFT) representation. In contrast to earlier results which are restricted to singleobjective LPV problems the proposed method can handle a set of H2/H∞ specifications that can be defined channel-wise. This pract...

The linear parameter-varying (LPV) models have broad applications in advanced mathematics and modern control systems. This paper introduces a new method for controlling the LPV includes gain-scheduled state-feedback technique fuzzy system to calculate gain. main goal of is stabilize bring its states equilibrium points. Linear matrix inequalities feedback gains system. On other hand, also produc...

In this paper, a novel gain-scheduled sliding-mode-type (SM-type) iterative learning (IL) control approach is proposed for the high-precision trajectory tracking of mechanical systems subject to model uncertainties and disturbances. Based on SM variable, controller synthesized involving feedback regulation item, feedforward robust switching item. The item adopted regulate position velocity erro...

The gain scheduling problem considered in this paper concerns a linear system whose state-space equations depend rationally on real, time-varying parameters, which are measured in real time. A stabilizing, parameter-dependent controller is sought, such that a given L 2 -gain bound for the closed-loop system is ensured. Sufficient linear matrix inequality (LMI) conditions are known, that guarant...