Design and Analysis of a Novel ${\cal L}_1$ Adaptive Control Architecture With Guaranteed Transient Performance
By C. Cao, Naira Hovakimyan. IEEE Transactions on Automatic Control, 2006
438 citations recorded by the source corpus.
This paper presents a novel adaptive control architecture that adapts fast and ensures uniformly bounded transient response for system's both signals, input and output, simultaneously. This new architecture has a low-pass filter in the feedback loop and relies on the small-gain theorem for the proof of asymptotic stability. The tools from this paper can be used to develop a theoretically justified verification and validation framework for adaptive systems. Simulations illustrate the theoretical findings.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/0cd71faf1d4e886bc5a77dbf6b6dae187fdfe8e1
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In Control and Systems Engineering
Citations in the corpus
- Concurrent learning for convergence in adaptive control without persistency of excitation (2010, neutral): “σ-mod [7], e-mod [9], Q-mod [11], L1 adaptive control [4], and backstepping adaptive control [8]).”
- Concurrent learning adaptive control of linear systems with exponentially convergent bounds (2013, background): “The quantities ‖x− xrm‖L∞ and ‖K̃‖L∞ have previously been used to characterize transient performance bounds of adaptive controllers [7].”
- Theory and Flight-Test Validation of a Concurrent-Learning Adaptive Controller (2011, background): “Hovakimyan et al. [10] studied output feedback adaptive control and Cao and Hovakimyan [11] have developed the paradigm of L 1 adaptive control.”