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Introduction to Uncertain Systems
2004Uncertainty is one of the main features of complex and intelligent decision making systems. Various approaches, methods and techniques in this field have been developed for several decades, starting with such concepts and tools as adaptation, stochastic optimization and statistical decision theory (see e.g. [2, 3, 68, 79, 80]). The first period of this
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Uncertain Sampled-data Systems
1996In this chapter we introduce the general sampled-data system configuration considered in this work. The system arrangement is shown in Figure 3.1. The figure shows a continuous time system G in feedback with a discrete time controller Kd through the sample and hold devices defined in (2.2). Also in feedback with G is the block diagonal system diag(Δ1,..
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Uncertain Systems and Robustness
2013The ability of dealing with uncertainty (uncertain system) is an essential part when designing a robust feedback controller. The objective is indeed to determine the controller parameters ensuring acceptable performance of the closed-loop system despite the unknown disturbances affecting the system as well as the uncertainties about the plant dynamics.
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Understanding Uncertain Environmental Systems
1994Developments over the past two decades in the identification of models of environmental systems are reviewed, with special reference to the quality and pollution of surface freshwaters. As in so many fields, the early 1970s were a time of great expectations: it would not be long, we believed, before the admittedly less well defined problems of ...
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A stabilization algorithm for a class of uncertain linear systems
Systems and Control Letters, 1987Ian Petersen
exaly