TY - BOOK ID - 85729852 TI - Delay-adaptive linear control AU - Zhu, Yang AU - Krstić, Miroslav PY - 2021 SN - 0691203318 PB - Princeton : Princeton University Press, DB - UniCat KW - Adaptive control systems KW - Time delay systems KW - Linear control systems KW - Linear time invariant systems KW - Differential equations, Linear. KW - Engineering mathematics. KW - Engineering KW - Engineering analysis KW - Mathematical analysis KW - Linear differential equations KW - Linear systems KW - Systems, Linear time invariant KW - Discrete-time systems KW - Automatic control KW - Time delay control KW - Time delay control systems KW - Time delay controllers KW - Time-delayed systems KW - Feedback control systems KW - Process control KW - Self-adaptive control systems KW - Artificial intelligence KW - Self-organizing systems KW - Mathematical models. KW - Mathematics KW - 3D printing. KW - Multi-input systems. KW - ODE delay notation. KW - adaptive control of uncertain systems. KW - aerospace engineering. KW - backstepping transformation. KW - biomedical engineering. KW - chemical engineers. KW - civil engineering. KW - combustion systems. KW - computer engineers. KW - control designs. KW - control synthesis techniques. KW - control theorists. KW - delay-related challenges. KW - delayed telecommunication systems. KW - delays in traffic flow dynamics. KW - distinct discrete input delays. KW - distributed input delays. KW - electrical engineers. KW - feedback of linear systems. KW - finite-dimensional systems. KW - global stability of nonlinear infinite-dimensional systems. KW - mechanical engineers, aerospace engineers. KW - multivariable multidelay systems. KW - neuromuscular electrical stimulation. KW - nonlinear infinite-dimensional stability study. KW - process dynamic researchers. KW - robotic manipulators. KW - structural engineering. KW - supply chains. KW - time-delay systems. KW - uncertainty combinations. KW - unmanned aerial vehicles. KW - unmeasured states. UR - https://www.unicat.be/uniCat?func=search&query=sysid:85729852 AB - Actuator and sensor delays are among the most common dynamic phenomena in engineering practice, and when disregarded, they render controlled systems unstable. Over the past sixty years, predictor feedback has been a key tool for compensating such delays, but conventional predictor feedback algorithms assume that the delays and other parameters of a given system are known. When incorrect parameter values are used in the predictor, the resulting controller may be as destabilizing as without the delay compensation. This book develops adaptive predictor feedback algorithms equipped with online estimators of unknown delays and other parameters. ER -