000697138 000__ 04676cam\a2200469Ki\4500 000697138 001__ 697138 000697138 005__ 20230306135724.0 000697138 006__ m\\\\\o\\d\\\\\\\\ 000697138 007__ cr\cnu|||unuuu 000697138 008__ 140319s2014\\\\sz\a\\\\ob\\\\001\0\eng\d 000697138 020__ $$a9783319028279 $$qelectronic book 000697138 020__ $$a3319028278 $$qelectronic book 000697138 020__ $$z9783319028262 000697138 0247_ $$a10.1007/978-3-319-02827-9$$2doi 000697138 035__ $$aSP(OCoLC)ocn873947731 000697138 035__ $$aSP(OCoLC)873947731 000697138 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dCOO 000697138 049__ $$aISEA 000697138 050_4 $$aQA402.3$$b.N52 2014 000697138 08204 $$a629.8$$223 000697138 1001_ $$aNguyẽ̂n, Hoài Nam,$$d1961-,$$eauthor. 000697138 24510 $$aConstrained control of uncertain, time-varying, discrete-time systems$$h[electronic resource] :$$ban interpolation-based approach /$$cHoai-Nam Nguyen. 000697138 264_1 $$aCham :$$bSpringer,$$c2014. 000697138 300__ $$a1 online resource (xiv, 196 pages) :$$billustrations. 000697138 336__ $$atext$$btxt$$2rdacontent 000697138 337__ $$acomputer$$bc$$2rdamedia 000697138 338__ $$aonline resource$$bcr$$2rdacarrier 000697138 4901_ $$aLecture Notes in Control and Information Sciences,$$x0170-8643 ;$$v451 000697138 504__ $$aIncludes bibliographical references and index. 000697138 5050_ $$aIntroduction -- Part I. Background -- Set-Theoretic Methods in Control -- Optimal and Constrained Control: An Overview -- Part II. Interpolating Control -- Interpolating Control: Nominal State Feedback Case -- Interpolating Control: Robust State Feedback Case -- Interpolating Control: Output Feedback Case -- Part III. Applications -- High-order Examples -- A Benchmark Problem: The Non-Isothermal Continuous Stirred Tank Reactor. 000697138 506__ $$aAccess limited to authorized users. 000697138 520__ $$aA comprehensive development of interpolating control, this monograph demonstrates the reduced computational complexity of a ground-breaking technique compared with the established model predictive control. The text deals with the regulation problem for linear, time-invariant, discrete-time uncertain dynamical systems having polyhedral state and control constraints, with and without disturbances, and under state or output feedback. For output feedback a non-minimal state-space representation is used with old inputs and outputs as state variables. Constrained Control of Uncertain, Time-Varying, Discrete-time Systems details interpolating control in both its implicit and explicit forms. In the former at most two linear-programming or one quadratic-programming problem are solved on-line at each sampling instant to yield the value of the control variable. In the latter the control law is shown to be piecewise affine in the state, and so the state space is partitioned into polyhedral cells so that at each sampling interval the cell to which the measured state belongs must be determined. Interpolation is performed between vertex control, and a user-chosen control law in its maximal admissible set surrounding the origin. Novel proofs of recursive feasibility and asymptotic stability of the vertex control law, and of the interpolating control law are given. Algorithms for implicit and explicit interpolating control are presented in such a way that the reader may easily realize them. Each chapter includes illustrative examples, and comparisons with model predictive control in which the disparity in computational complexity is shown to be particularly in favour of interpolating control for high-order systems, and systems with uncertainty. Furthermore, the performance of the two methods proves similar except in those cases when a solution cannot be found with model predictive control at all. The book concludes with two high dimensional examples and a benchmark robust model predictive control problem: the non-isothermal continuously-stirred-tank reactor. For academic control researchers and students or for control engineers interested in implementing constrained control systems Constrained Control of Uncertain, Time-Varying, Discrete-time Systems will provide an attractive low-complexity control alternative for cases in which model predictive control is currently attempted. 000697138 588__ $$aDescription based on print version record. 000697138 650_0 $$aInterpolation. 000697138 650_0 $$aConstrained optimization. 000697138 650_0 $$aControl theory. 000697138 77608 $$iPrint version:$$aNguyen, Hoai-Nam.$$tConstrained control of uncertain, time-varying discrete-time systems$$z331902826X$$w(OCoLC)859042695 000697138 830_0 $$aLecture notes in control and information sciences ;$$v451.$$x0170-8643 000697138 85280 $$bebk$$hSpringerLink 000697138 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-3-319-02827-9$$zOnline Access 000697138 909CO $$ooai:library.usi.edu:697138$$pGLOBAL_SET 000697138 980__ $$aEBOOK 000697138 980__ $$aBIB 000697138 982__ $$aEbook 000697138 983__ $$aOnline 000697138 994__ $$a92$$bISE