Results 241 to 250 of about 2,645,561 (296)
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Controlling nonlinear time-varying systems via euler approximations
Automatica, 1992zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mareels, Iven M. Y. +2 more
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Robust Controller Synthesis for Uncertain Time-Varying Systems
SIAM Journal on Control and Optimization, 2002The paper extends results on linear time-invariant robust design to linear time-varying systems (arising for example when linearizing a non-linear system along a given trajectory). Tools include standard state-space results on robust design, such as the scaled small-gain theorem, but also less standard results on linear operator inequalities and ...
Pirie, Carol, Dullerud, Geir E.
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Robust Controller Design for Linear, Time-Varying Systems
European Journal of Control, 1999zbMATH Open Web Interface contents unavailable due to conflicting licenses.
O'Brien, R. T. jun., Iglesias, P. A.
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Optimal Control of Time-Varying Queuing Systems
Management Science, 1973The optimal control of a single-stage multi-server time-varying queuing system is considered. A mathematical model and an index of performance for the queuing system are formulated, and the optimal arrival rate of the input process to the service mechanism is then determined.
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H/sup ∞/ control for linear time-varying systems: controller parameterization
IEEE Transactions on Automatic Control, 1999The \(H^\infty\) control problem is studied for finite-dimensional linear time-varying (FDLTV) systems of the form: \[ \begin{aligned} \dot x(t) & =A(t)x(t)+ B_1(t)w(t)+ B_2(t)u(t)\\ z(t) & =C_1(t)x(t)+ D_{12}(t)u(t)\\ y(t) & =C_2(t)x(t)+ D_{21} (t)w(t)\\ x(0) & =0,\;t\in \mathbb{R}^+ \end{aligned} \] where \(x\in \mathbb{R}^n\) represents the state, \(
Yung, Chee-Fai, Yang, Chi-Ming
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Reducible linear time-varying control systems†
International Journal of Control, 1971Linear systems with time-varying coefficients are of great concern in various fields. However, the theoretical treatment is very difficult and very few achievements have been seen so far. In this paper, the discussions are confined to those classes of systems which can be transformed into linear stationary systems.
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Controllability and observability for time‐varying switched impulsive controlled systems
International Journal of Robust and Nonlinear Control, 2010AbstractThis paper is concerned with the controllability and observability for linear time‐varying switched impulsive systems. First, some new results about the variation of parameters for time‐varying switched impulsive systems are derived.
Zhao, Shouwei, Sun, Jitao
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Proceeding of the 11th World Congress on Intelligent Control and Automation, 2014
A learning control scheme is designed for first-order bilinear parametric systems with unknown periodically time-varying delays. It is assumed that the common periodicity of unknown time-varying parameter, time-varying delay, and reference signal are known.
null Yunping Sun +3 more
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A learning control scheme is designed for first-order bilinear parametric systems with unknown periodically time-varying delays. It is assumed that the common periodicity of unknown time-varying parameter, time-varying delay, and reference signal are known.
null Yunping Sun +3 more
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Control algorithm for unknown time-varying systems†
International Journal of Control, 1989A simple algorithm is briefly described for the control of rapidly time-varying unknown systems and its performance is illustrated by several linear and non-linear examples, including plants with unstable input zeros. The algorithm uses local flow behaviour and exhibits ‘one-step-adaptive model reference-like’ performance.
H. B. PENFOLD, R. J. EVANS
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Adaptive Control of Time-Varying and Nonlinear Systems
1994This chapter contains theoretical concepts that are more advanced than those used in the preceding chapters. These concepts and several references are used to show that the preceding adaptive controllers still maintain stability with respect to boundedness even for certain classes of time-varying and nonlinear systems.
Howard Kaufman +2 more
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