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Design Methods for Model-Reference Adaptive Systems
Proceedings of the Institution of Mechanical Engineers, 1968The ‘M.I.T. rule’ and two Lyapunov synthesis methods of design are critically reviewed. The latter are the input modification scheme of Grayson and Parks' method for the determination of parameter-adjusting feedback loops. For large inputs such methods are unsatisfactory: this is demonstrated by root locus plots for the step response of a second-order
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A Reference Model for Adaptive Visualization Systems
2011One key issue of both Information Visualization as well as Adaptive User Interfaces is information overload. While both disciplines have already devised well performing algorithms, methods and applications, a real merging has not taken place yet.
Kawa Nazemi +2 more
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Parameter identification by model reference adaptive systems
Advances in Water Resources, 1991Abstract In this note we present an introduction to the so-called model reference adaptive system method which can be used to identify a spatially varying parameter in an evolution equation. The inherent mathematical difficulties are briefly discussed and relevant results are given.
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Structure of model reference adaptive control systems
International Journal of Control, 1981The structure of model reference adaptive control systems is explained in a more understandable way in this paper. By applying exact model matching theory, tho basic structure of model reference adaptive control systems is established. Also, the reason for the necessity of an augmented error signal as well as its physical meaning is made clear.
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Adaptive systems and closed-loop reference models
2015 American Control Conference (ACC), 2015An integral part of adaptive control is the selection of a reference model that provides a desired target error that adaptive laws are designed to minimize. The classical approach towards this selection is to choose a corresponding desired output for the adaptive system as the output of linear time-invariant system with desired performance ...
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On a robust model-reference adaptive control system
Proceedings IEEE International Symposium on Intelligent Control 1988, 2003A new type of model-reference adaptive control system is presented. The system state estimator of this adaptive system is described by the differential equation of the reference model with the feedback speeding up the estimator action during the tuning-up of the controller parameters and vanishing when the system performance approaches that of the ...
J.T. Bialasiewicz, J.C. Proano
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Extended Lyapunov adaptation law for model reference systems
IEEE Transactions on Automatic Control, 1976An extension of the adaptation methods presented previously by Ten Cate are presented. Proof of asymptotic stability of the error is effected using Lyapunov theory. This method completes the triplet of a group of previously published adaptation rules for a variation suggested by Shahein et al. using a plant-model parameter misalignment function.
Colburn, Bruce K., Boland, J. S. III
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Economic growth model arising from model reference adaptive system
Proceedings IECON '91: 1991 International Conference on Industrial Electronics, Control and Instrumentation, 2002The author extends the model reference adaptive turnpike theorem and proves the usefulness of the theorems. Two types of activities for the adaptation to the turnpike are introduced: (1) the stock adjustment activities, which transfer the unused stock of goods in some period to the next period without any cost, and (2) the temporary trade activities ...
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Software Simulation of Model Reference Adaptive Control Systems
1990Simulation of Model Reference Parameter Tracking Identification Techniques and Model Reference Adaptive Control Systems for design and stability analysis was implemented in the past using a complete analogue simulation and in more recent research, digital computers were introduced for the overall interface of the analogue components of the simulator ...
M. Bakr, D. Bell
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Antibody–drug conjugates: Smart chemotherapy delivery across tumor histologies
Ca-A Cancer Journal for Clinicians, 2022Paolo Tarantino +2 more
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