温室 发表于 2025-3-25 05:21:03
Design of an Iterative Learning Controller for a Class of Linear Dynamic Systems with Time-Delay andith time-delay, erratic estimation of delay time may cause the control input to diverge. In order to resolve such a difficulty due to uncertainty of the delay time, a new ILC algorithm is proposed, in which the holding mechanism is adopted to hold the control input at a constant value for the durati圆桶 发表于 2025-3-25 09:27:01
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Model Reference Learning Control with a Wavelet Networkarity cannot be neglected if a driving point varies in a large region. In this chapter, we present a Model Reference Learning Control(MRLC) with a wavelet network as one of methods which don’t neglect the nonlinearity. MRLC estimates the characteristics of a controlled object by learning through rep丛林 发表于 2025-3-25 21:02:31
Neural-Based Iterative Learning Controlning controller (ILC) is used for a process of short term memory involved in a temporary learning manipulation and a storage of a specific temporary action. The leaxning gain of the iterative learning law is estimated by using a neural network for an unknown system except relative degrees. The contrADORN 发表于 2025-3-26 03:46:46
Adaptive Learning Control of Robotic Systems and its Extension to a Class of Nonlinear Systemschieves system stability and boundedness by using the feedback controller coupled with nonlinear or fuzzy compensator and achieves precise tracking by using the iterative learning rules. In the feedback plus adaptive compensator unit, the feedback control part stabilizes the overall closed-loop syst冷淡一切 发表于 2025-3-26 05:36:40
Direct Learning Control of Non-Uniform Trajectoriespre-obtained control profiles are chosen properly, the desired control input can be obtained directly and precisely by using DLC without repeated learning process. Singularity problems have been discussed and a revised algorithm is proposed to deal with these problems. Through several sets of simulalethal 发表于 2025-3-26 10:59:05
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past control informa tion, such as tracking errors and control input signals, into the construction of the present control action. There are two phases in Iterative Learning Control: first the long term memory components are used to store past control infor mation, then the stored control informatHALO 发表于 2025-3-26 18:39:13
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