Results 201 to 210 of about 3,531,090 (251)

Alternative Model Reference Adaptive Control

AIAA Guidance, Navigation, and Control Conference, 2010
This paper introduces a provably stable alternative indirect formulation to the nowclassical Model Reference Adaptive Control (MRAC) architecture. The proposed statefeedback design is developed for generic multi-input multi-output dynamical systems with matched uncertainties.
Jason Levin, Ross Gadient, Eugene Lavretsky   +2 more
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Tube model reference adaptive control

Automatica, 2013
By using the concept of on-line goal adaptation, we develop a new paradigm of performance shaping in MRAC. The general idea is to replace the single reference model generated trajectory in classical adaptive design with a tube reference model. Two alternative adaptive control schemes that lead to tractable design formulations are developed in which the
Boris Mirkin, Per-Olof Gutman
openaire   +1 more source

Model reference iterative learning control

2006 American Control Conference, 2006
This paper introduces a new formulation of the iterative learning control (ILC): in this version, the states of a plant can be steered to follow the states of a reference model that does not necessarily have the same structure as the plant. In order to achieve such an objective, the designed ILC includes a stabilization term and an iteratively updated ...
null Wen Chen, F.N. Chowdhury
openaire   +1 more source

Model‐reference adaptive control system

AIChE Journal, 1967
AbstractAn adaptive process control scheme—which uses a differential equation model, requires no differentiations in the adaptive circuitry, and no identification of the varying process parameter—was analyzed mathematically and studied on an analog computer.
Robert M. Casciano, H. Kenneth Staffin
openaire   +1 more source

Model Reference Adaptive Control

2000
Control algorithms discussed in Chapters 2–5 are generally based on the discrete-time model and in most cases the input and output models are used to formulate the algorithm. In this chapter, an alternative approach will be described using the state space model.
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Fuzzy model-reference adaptive control

Proceedings of 1994 33rd IEEE Conference on Decision and Control, 1995
This paper proposes a fuzzy model-reference adaptive control (fuzzy-MRAC) to deal with controlling a plant with unknown parameters which are dependent on known variables. The proposed method uses the fuzzy basis function expansion (FBFE) to represent the unknown parameters and change the identification problem from identifying the original unknown ...
Tang-Kai Yin, C. S. George Lee
openaire   +1 more source

Model Reference Bilateral Teleoperation Control

2015
The control of bilateral teleoperators is a highly active research due to the complexity of their nonlinear dynamics, the time delays in the communications as well as the wide range of practical real applications. A bilateral networked teleoperation is a networked dual-robot system exchanging sensed feedback and command signals between master and slave
Zhijun Li, Yuanqing Xia, Chun-Yi Su
openaire   +1 more source

Decentralized model reference robust control

Proceedings of 32nd IEEE Conference on Decision and Control, 2002
Model reference robust control (MRRC) is extended to decentralized output control of interconnected systems. First, a brief review of MRRC is given. Second, a class of interconnected systems to which decentralized MRRC can be applied is established, and it is shown that the tracking error for each subsystem can be made arbitrarily small.
J.D. Finney, B.S. Heck
openaire   +1 more source

Deep Model Reference Control.

Proposed for presentation at the Sandia Academic Alliance - Fall 2022 - University of Illinois LDRD Mini-Conference held September 15-15, 2022 in Urbana, IL., 2022
Scott Bout, Dennis McCann, Girish Chowdhary   +2 more
openaire   +1 more source

Model reference robust control

2007
Classical model reference adaptive control schemes require the following assumptions on the plant: A1) minimum phase; A2) known upper bound of the plant order; A3) known relative degree; and A4) known sign of high frequency gain. It is well-known that the robustness of the adaptive systems is a potential problem, and it requires many sophisticated ...
openaire   +1 more source