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Stabilization of uncertain systems
1981 20th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes, 1981Structural properties necessary to guarantee the existence of a stabilizing feedback control law for systems described by a set of linear time-invariant differential equations with bounded but unknown time-varying uncertanties are investigated. A monotone mapping theorem is used to explore the relation between an optimal regulator problem with and ...
Robert Thomas +2 more
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2019
In this chapter, we are going to discuss about the uncertain linear system that is involved with any uncertainties. First of all, it should be mentioned that an uncertain linear system is indeed an extension of interval linear system. This is why, we will discuss about the systems involving interval analysis approach.
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In this chapter, we are going to discuss about the uncertain linear system that is involved with any uncertainties. First of all, it should be mentioned that an uncertain linear system is indeed an extension of interval linear system. This is why, we will discuss about the systems involving interval analysis approach.
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2013
As discussed in Chap. 1 it is well understood that uncertainties are unavoidable in a real control system. The uncertainty can be classified into two categories: disturbance signals and dynamic perturbations. The former includes input and output disturbance (such as a gust on an aircraft), sensor noise and actuator noise, etc. The latter represents the
Da-Wei Gu +2 more
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As discussed in Chap. 1 it is well understood that uncertainties are unavoidable in a real control system. The uncertainty can be classified into two categories: disturbance signals and dynamic perturbations. The former includes input and output disturbance (such as a gust on an aircraft), sensor noise and actuator noise, etc. The latter represents the
Da-Wei Gu +2 more
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2009
Novel direct adaptive robust state and output feedback controllers are presented for the output tracking control of a class of nonlinear systems with unknown system dynamics and disturbances. Both controllers employ a variable-structure radial basis function (RBF) network that can determine its structure dynamically to approximate unknown system ...
Jianming Lian, Stanislaw H. Żak
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Novel direct adaptive robust state and output feedback controllers are presented for the output tracking control of a class of nonlinear systems with unknown system dynamics and disturbances. Both controllers employ a variable-structure radial basis function (RBF) network that can determine its structure dynamically to approximate unknown system ...
Jianming Lian, Stanislaw H. Żak
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Compensability of uncertain systems
29th IEEE Conference on Decision and Control, 1990The uncertainty of linear discrete-time systems with white stochastic parameters is considered in relation with the properties of mean-square stability and the ability to provide compensation. A measure for the uncertainty in the system matrices is introduced.
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Archives of Neurology, 1969
This well-written book by the Head of the Division of Physiology and Pharmacology of the (British) National Institutes of Medical Research examines the current status and explores possible future trends of the study of the central nervous system as brain.
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This well-written book by the Head of the Division of Physiology and Pharmacology of the (British) National Institutes of Medical Research examines the current status and explores possible future trends of the study of the central nervous system as brain.
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Estimation of Uncertain Systems
1973Publisher Summary This chapter describes the state estimation problem with parameter uncertainties. The Kalman-Bucy filter gives the unbiased, minimum variance estimate of the state vector of a linear dynamic system that is disturbed by additive white noise when measurements of the state vector are linear, but disturbed by white noise.
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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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