Mixed Control Strategy for a Class of Sector-Bounded Nonlinear Systems

Here, mixed-strategy-based control of systems with sector-bounded nonlinearities is considered. The suggested control strategy applies a stochastic state feedback, where the control gain includes a white noise component in addition to the deterministic part. While each of the control signal components can sometimes accomplish the control task independently, the combination may have some merits. This is especially true when both the mean value and the variance of the control signal need to be quantified separately. Systems that apply deterministic state-feedback control are abundant, whereas the application of state-multiplicative noise as a mean of control is more limited. Nevertheless, Stochastic Anti Resonance (SAR) with state-multiplicative noise based control, are encountered in diverse engineering applications, physics modelling, and biological models, such as visual-motor tasks. Matrix Inequalities conditions are derived, for weighted L2-gain using a mixed strategy control along with exponential LP-stability of the closed-loop. A numerical example is given, where the merit of mixed control strategy comparing to deterministic control is demonstrated.

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Publication Details

Journal
Entropy
Published
2025-03-01
DOI
https://doi.org/10.3390/e27030261
Primary Topic
stochastic dynamics and bifurcation
Type
article
Field-Weighted Citation Impact
0.00
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article

Mixed Control Strategy for a Class of Sector-Bounded Nonlinear Systems

Adrian‐Mihail Stoica, I. Yaesh
1 links
Entropy
stochastic dynamics and bifurcation
article

Mixed Control Strategy for a Class of Sector-Bounded Nonlinear Systems

Adrian‐Mihail Stoica, I. Yaesh
article en

Abstract

Here, mixed-strategy-based control of systems with sector-bounded nonlinearities is considered. The suggested control strategy applies a stochastic state feedback, where the control gain includes a white noise component in addition to the deterministic part. While each of the control signal components can sometimes accomplish the control task independently, the combination may have some merits. This is especially true when both the mean value and the variance of the control signal need to be quantified separately. Systems that apply deterministic state-feedback control are abundant, whereas the application of state-multiplicative noise as a mean of control is more limited. Nevertheless, Stochastic Anti Resonance (SAR) with state-multiplicative noise based control, are encountered in diverse engineering applications, physics modelling, and biological models, such as visual-motor tasks. Matrix Inequalities conditions are derived, for weighted L2-gain using a mixed strategy control along with exponential LP-stability of the closed-loop. A numerical example is given, where the merit of mixed control strategy comparing to deterministic control is demonstrated.

EntropyVol. 27(3)
Universitatea Națională de Știință și Tehnologie Politehnica București (RO), Elbit Systems (Israel) (IL)
Openalex Percentile: Top 97%
stochastic dynamics and bifurcation
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Mixed Control Strategy for a Class of Sector-Bounded Nonlinear Systems — Adrian‐Mihail Stoica, I. Yaesh · Entropy (2025) | TGRS Research Map | TGRS