Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/10873
Title: Variance-constrained multiobjective control and filtering for nonlinear stochastic systems: A survey
Authors: Ma, L
Wang, Z
Dong, H
Wei, G
Keywords: Multiobjective control;Nonlinear stochastic systems;Filtering;Variance constraints;Covariance control theory
Issue Date: 2013
Publisher: Hindawi Publishing Corporation
Citation: Abstract and Applied Analysis, 2013: 724018, ( 6 October 2013)
Abstract: The multiobjective control and filtering problems for nonlinear stochastic systems with variance constraints are surveyed. First, the concepts of nonlinear stochastic systems are recalled along with the introduction of some recent advances. Then, the covariance control theory, which serves as a practical method for multi-objective control design as well as a foundation for linear system theory, is reviewed comprehensively. The multiple design requirements frequently applied in engineering practice for the use of evaluating system performances are introduced, including robustness, reliability, and dissipativity. Several design techniques suitable for the multi-objective variance-constrained control and filtering problems for nonlinear stochastic systems are discussed. In particular, as a special case for the multi-objective design problems, the mixed H 2 / H ∞ control and filtering problems are reviewed in great detail. Subsequently, some latest results on the variance-constrained multi-objective control and filtering problems for the nonlinear stochastic systems are summarized. Finally, conclusions are drawn, and several possible future research directions are pointed out.
URI: http://www.hindawi.com/journals/aaa/2013/724018/
http://bura.brunel.ac.uk/handle/2438/10873
DOI: http://dx.doi.org/10.1155/2013/724018
ISSN: 1085-3375
1687-0409
Appears in Collections:Dept of Computer Science Research Papers

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