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Graph-Based Restricted and Arbitrary Switching for Switched Positive Systems via a Weak CLCLF.
IEEE Transactions on Cybernetics
|July 6, 2023
Summary
This study ensures the stability of discrete-time switched positive linear systems (SPLSs) with marginally stable parts. The weak common linear copositive Lyapunov function approach guarantees asymptotic stability under various switching signals.
Area of Science:
- Control Systems Engineering
- Systems Theory
- Applied Mathematics
Background:
- Discrete-time switched positive linear systems (SPLSs) with marginally stable subsystems present unique stability challenges.
- Ensuring asymptotic stability in such systems requires advanced analytical techniques that account for both system dynamics and switching behaviors.
Purpose of the Study:
- To investigate and establish conditions for the asymptotic stability of discrete-time switched positive linear systems (SPLSs) with marginally stable subsystems.
- To develop novel methods for analyzing stability under different types of switching signals.
Main Methods:
- Utilizing the weak common linear copositive Lyapunov function (weak CLCLF) approach.
- Combining switching properties with state component properties.
- Developing cycle-dependent joint path conditions using switching digraphs and state component digraphs for transfer-restricted switching.
- Constructing path conditions for designing switching schemes under time interval sequences.
Main Results:
- Novel cycle-dependent joint path conditions are proposed for transfer-restricted switching signals.
- Two types of path conditions are developed for designing switching schemes under time interval sequences.
- Necessary and sufficient conditions for asymptotic stability under arbitrary switching are established.
Conclusions:
- The proposed weak CLCLF approach effectively ensures the asymptotic stability of SPLSs with marginally stable subsystems.
- The developed conditions and methods provide a robust framework for analyzing and designing stable switched systems.
- The effectiveness of the presented methods is validated through three illustrative examples.
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