Results 231 to 240 of about 296,760 (265)

Reliable Control of Uncertain Nonlinear Systems

Automatica, 1998
The primary contingency reliable control problem [see, e.g., \textit{R. J. Veillette, J. V. Medanic} and \textit{W. R. Perkins}, IEEE Trans. Autom. Control 37, 290-304 (1992; Zbl 0745.93025)] together with a numerical example is studied for affine uncertain nonlinear systems.
Yuqiong Liu, Jian Liang Wang, Guang-Hong Yang   +2 more
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Uncertain Variables in the Computer Aided Analysis of Uncertain Systems

2000
The paper is concerned with static uncertain systems described by a function or by a relation. Unknown parameters in the mathematical models are considered as so called uncertain variables described by certainty distributions given by an expert. Two versions of the uncertain variables based on two versions of uncertain logics are defined. In the second
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Optimization of a Class of Uncertain Systems Based on Uncertain Variables

2005
The uncertain variables have been developed as a tool for decision making in a class of uncertain systems described by traditional models or by relational knowledge representations. The purpose of this paper is to show how the uncertain variables may be applied to specific optimization problems formulated for uncertain static plants. A general approach
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Deconvolution for uncertain systems

2009 6th International Symposium on Mechatronics and its Applications, 2009
The degradation of signals and images can be caused by both natural perturbations and electronic systems, recording linear systems, in which parameters are slowly time-varying such as sensors or other systems of storage. Treatment of the above mentioned systems are discussed. For this purpose, Sekko & al.
Soraya Zenati, Abdelhani Boukrouche
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On the notion of uncertain belief revision systems

2005
The notion of uncertain belief revision systems (UBRS) is introduced as an extension of assumption-based truth maintenance systems (ATMS) to a many valued logic.
C. Bernasconi, RIVOIRA, Silvano, S. Termini   +2 more
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Worst-case simulation of uncertain systems

1999
In this paper we consider the problem of worst-case simulation for a discrete-time system with structured uncertainty. The approach is based on the recursive computation of ellipsoids of confidence for the system state, based on semidefinite programming.
Laurent El Ghaoui, Giuseppe Carlo Calafiore   +1 more
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Uncertain Linear Systems

2013
This chapter presents a summary of some classical results on robustness analysis of linear dynamical systems. The chapter includes a discussion of deterministic and stochastic signals, linear time-invariant systems in state space form, linear matrix inequalities, and characterization of the \(\mathcal{H}_{2}\) and \(\mathcal{H}_{\infty}\) norms.
Roberto Tempo, Giuseppe Calafiore, Fabrizio Dabbene   +2 more
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Modeling of Uncertain Systems

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, Petko H. Petkov, Mihail M. Konstantinov   +2 more
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Compensability of uncertain systems

29th IEEE Conference on Decision and Control, 1990
The 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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Uncertain systems

2000
Ian R. Petersen, Valery A. Ugrinovskii, Andrey V. Savkin   +2 more
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