New relationships between input-output and Lyapunov stability (original) (raw)
Abstract
Theorem 2. I] such that G : = F '0, is a gcrd of (&E, Np, Dc), implying Manuscnpt reccived June 2. 1981: revhed August 18. 1981. ?vi M. Fahmy i b with the Department of Electrical Engineering and Electronics, University of Liverpool. Liverpool L69 3BX. England. on leave from the Department of Electrical Engineering. Asiut University. Auiut. Eg>~t. of Liverpool. 1.iverpool L69 3BX. England. J OReilly i5 with the Department of Electrical Engineenng and Electronlcs. Unlvcrrit)
Key takeaways
AI
- The text establishes a relationship between input-output stability and Lyapunov stability for autonomous systems.
- Small-signal L1-stability is defined and shown to be linked to Lyapunov stability.
- Conditions for small-signal L1-stability involve finite constants and unique solutions under specific initial conditions.
- Theorem 2 states that local conditions ensure the equilibrium point is attractive if small-signal L1-stability holds.
- Exploration of input-output and state-space theories can facilitate problem-solving across both frameworks.

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FAQs
AI
What new concept does the paper introduce related to stability?add
The paper defines 'small-signal L∞-stability' and links it to Lyapunov stability. This is significant for analyzing relationships between input-output and Lyapunov stability across various systems.
How does Lyapunov stability relate to input-output stability?add
The research reveals that many stability criteria are more comprehensible in the input-output framework. Furthermore, key findings suggest that establishing input-output stability can utilize results from Lyapunov stability, promoting methodological synergy.
What are the sufficient conditions for loop stability discussed?add
The findings indicate that under specific conditions, including a compensator's existence, loop stability is achievable. In particular, the study illustrates that if G is a gcrd of given matrices, stability conditions are satisfied.
What makes the methodology in this paper noteworthy?add
The methodology combines local conditions of exponential stability with system characteristics to derive small-signal L∞-stability. This approach enhances the applicability of results to both stable and unstable systems.
What implications does the research have for large-scale systems?add
The study posits that the properties of local observability and stability are crucial for large-scale systems. Consequently, it highlights how feedback mechanisms can preserve certain stability characteristics in complex interconnections.