Neurodynamics-Based Robust Pole Assignment for High-Order Descriptor Systems.
basic_science · Level V
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- Record sourced from PubMed, PMID 26357408.
- Also identified by DOI 10.1109/TNNLS.2015.2461553.
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Abstract
In this paper, a neurodynamic optimization approach is proposed for synthesizing high-order descriptor linear systems with state feedback control via robust pole assignment. With a new robustness measure serving as the objective function, the robust eigenstructure assignment problem is formulated as a pseudoconvex optimization problem. A neurodynamic optimization approach is applied and shown to be capable of maximizing the robust stability margin for high-order singular systems with guaranteed optimality and exact pole assignment. Two numerical examples and vehicle vibration control application are discussed to substantiate the efficacy of the proposed approach.