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- Title
Special Issue on Sparsity‐inducing Methods in Control Theory.
- Authors
Bako, Laurent; Mo, Yilin; Nagahara, Masaaki
- Abstract
For example, sparsity-inducing optimization has proven to be a powerful principle for developing resilient estimation and control algorithms that can withstand random system failures and malicious attacks. From a methodological viewpoint, sparsity-inducing optimization is a powerful paradigm for developing control and estimation schemes that are robust to the aforementioned sparse uncertainties. Modern control theory is challenged by an increasing complexity of the systems to be controlled and meanwhile by the increasing level of demanded performance.
- Subjects
AUTOMATIC control systems; LINEAR control systems; ROBUST control; SYSTEM failures; INFORMATION theory; HYBRID systems; CONTROL theory (Engineering)
- Publication
International Journal of Robust & Nonlinear Control, 2023, Vol 33, Issue 1, p3
- ISSN
1049-8923
- Publication type
Editorial
- DOI
10.1002/rnc.6487