Equivalent transformation and weighted $H_\infty$-optimization of linear descriptor systems
A. G. Mazko

TL;DR
This paper develops a method for transforming and optimizing linear descriptor systems using weighted $H__$-control, enabling application of standard techniques to complex systems with initial conditions.
Contribution
It introduces a non-degenerate transformation approach for descriptor systems, facilitating $H__$-optimization with a generalized performance measure.
Findings
Transformation simplifies the control design process.
The method effectively handles systems with non-zero initial vectors.
Numerical example demonstrates practical applicability.
Abstract
The problem of a generalized type of -control is investigated for a class of admissible descriptor systems with a non-zero initial vector. A generalized performance measure is used, which characterizes the weighted damping level of external and initial disturbances. A non-degenerate transformation of the system is proposed, which allows to apply known methods for evaluation and the achievement of desired performance measures for conventional lower-order systems. A numerical example of a controlled hydraulic system with three tanks is given.
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Taxonomy
TopicsAdvanced Optimization Algorithms Research · Matrix Theory and Algorithms · Advanced Control Systems Optimization
