Conference proceeding
Closest Feasible Points Invariance: A System Property to Characterize Systems with Actuator Saturation
2020 AMERICAN CONTROL CONFERENCE (ACC), v 2020-, pp 2766-2771
01 Jan 2020
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This article introduces a new system property called the closest feasible points (CFP) invariance to characterize systems with actuator saturation. Systems that possess this invariance property include diagonal matrices, completely decentralized (completely decoupled) linear dynamical systems, and dynamical systems with a nonsingular input-independent characteristic (decoupling) matrix that can be made diagonal with row or column rearrangements. However, a single-input single-output system may not possess this property. This system property has implications and applications in control, where actuator saturation is common. For example, when an actuator saturates, the closed-loop performance of a CFP non-invariant plant under a controller that is not a solution to a constrained optimal control problem, may degrade considerably. The definition of this property guides the derivation of optimal CFP non-invariance compensators that decrease the control performance degradation gracefully in CFP non-invariant plants. This work characterizes the plants for which clipping and direction preservation of controller outputs are optimal.
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Details
- Title
- Closest Feasible Points Invariance: A System Property to Characterize Systems with Actuator Saturation
- Creators
- Masoud Soroush - Drexel UniversityIEEE
- Publication Details
- 2020 AMERICAN CONTROL CONFERENCE (ACC), v 2020-, pp 2766-2771
- Series
- Proceedings of the American Control Conference
- Publisher
- IEEE
- Number of pages
- 6
- Grant note
- CBET-1704915 / U.S. National Science Foundation; National Science Foundation (NSF)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Chemical and Biological Engineering
- Web of Science ID
- WOS:000618079802118
- Scopus ID
- 2-s2.0-85089586439
- Other Identifier
- 991019170502404721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Automation & Control Systems
- Engineering, Electrical & Electronic