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A New Adaptive-Robust Design for Time Delay Control Under State-Dependent Stability Condition

S. Roy, Jinoh Lee, Simone Baldi

Year
2020
Citations
81

Abstract

This brief proposes a new adaptive-robust formulation for time-delay control (TDC) under a less-restrictive stability condition. TDC relies on estimating the unknown system dynamics via the artificial introduction of a time delay, often referred to as time-delay estimation (TDE). In conventional TDC, the estimation error, called TDE error, is taken to be upper bounded by a constant under the assumption of small time delay and, most importantly, of a priori bounded states. We highlight the issues of such a conventional methodology via an unstable counterexample. Consequently, a new less-restrictive structure for the upper bound of the TDE error is formulated, which has an explicit dependence on system states and is valid for any chosen time delay. This insight leads to a new TDC design, namely, time-delayed adaptive-robust control (TDARC). The effectiveness of TDARC is substantiated via a multiple-degrees-of-freedom robot.

Keywords

Control theory (sociology)Bounded functionA priori and a posterioriCounterexampleUpper and lower boundsStability (learning theory)Constant (computer programming)Adaptive controlRobust controlComputer science

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