The paper addresses the problem of design of a robust controller for a class of non linear uncertain systems to guarantee the prescribed decay rate of exponential stability. The polytope type bounded deterministic unc...
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The paper addresses the problem of design of a robust controller for a class of non linear uncertain systems to guarantee the prescribed decay rate of exponential stability. The polytope type bounded deterministic uncertainties are considered both in a studied system and its input part. The proposed approach does not employ matching conditions.
The problem of simultaneous state and system parameter estimation for aquatic ecosystems is considered in this paper. This problem has been solved through the identification of an innovation dynamical model representa...
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In this paper, an alternative method for state estimation of a linear stochastic system under additional bounded set-theoretic disturbance is proposed as a modification of the Bayesian formulation of the problem. The ...
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The paper deals with the design of decentralized robust controllers with output feedback for a class of interconnected linear continuous time systems with parametric uncertainties. The uncertainties, in general nonlin...
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The paper deals with the design of decentralized robust controllers with output feedback for a class of interconnected linear continuous time systems with parametric uncertainties. The uncertainties, in general nonlinear, can appear both in the subsystems as well as in their interconnections. No matching conditions or other similar constraints are to be considered in the complex uncertain system model. The proposed two approaches have been verified on a design of decentralized robust PI controllers using non-iterative LMI based algorithm.
Analysis of complex systems such as hierarchically structured network systems that are employed in modelling and analysis various aspects and issues of control and management in telecommunications is investigated. The...
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Necessary and sufficient conditions for a discrete-time system to be stabilizable via output feedback are established. The obtained conditions include a Riccati equation. An iterative algorithm for the computation of ...
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Necessary and sufficient conditions for a discrete-time system to be stabilizable via output feedback are established. The obtained conditions include a Riccati equation. An iterative algorithm for the computation of output stabilizing feedback gains is proposed in two alternatives. The results provide the discrete-time counterpart to the results by Kučera and deSouza, 1995.
The paper addresses the design of a robust controller with output feedback for uncertain linear systems in the time domain. The necessary and sufficient conditions for static output feedback stabilizability of linear ...
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The paper addresses the design of a robust controller with output feedback for uncertain linear systems in the time domain. The necessary and sufficient conditions for static output feedback stabilizability of linear continuous and discrete time systems are the basis for the proposed robust controller design procedure. The proposed approach does not employ matching conditions.
The paper addresses the design of a robust controller with output feedback for parametric uncertain linear systems in the time domain. The necessary and sufficient conditions for static output feedback stabilizability...
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The paper addresses the design of a robust controller with output feedback for parametric uncertain linear systems in the time domain. The necessary and sufficient conditions for static output feedback stabilizability of linear continuous and discrete time systems are the basis for the proposed robust controller design procedure. The proposed approach does not employ matching conditions.
This paper presents an attractive artificial neural network architecture with orthonormal type of activation functions (e.g. harmonic, Legendre, Laguerre and Chebychev) for modeling and self-tuning control of nonlinea...
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This paper presents an attractive artificial neural network architecture with orthonormal type of activation functions (e.g. harmonic, Legendre, Laguerre and Chebychev) for modeling and self-tuning control of nonlinear processes. An algorithm for modeling and self-tuning control of uncertain nonlinear complex processes is proposed. Several types of orthonormal functions for nonlinear process modeling and control are analyzed and compared. Simulation results are provided to illustrate high performance of artificial neural networks with the orthonormal activation functions in practical industrial problems. The obtained results are compared and potential shortcomings of the proposed methods for real time industry control are discussed and analyzed.
Map-measurements of internal combustion (IC) engines concerning torque, emissions and other effects are essential for the design and application of an engine control system. With the rising number of engine input- and...
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