Feedback for physicists: A tutorial essay on control
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Cites background from "Feedback for physicists: A tutorial..."
...Feedback theory is commonly used for time-varying coupling, and it is one of the most important ideas developed in the last century, with fundamental implications especially for biological neural systems [210]....
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...Adaptive mechanisms can be found in biological systems [209] and neural systems [210], e....
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Cites background from "Feedback for physicists: A tutorial..."
...[136] John Bechhoefer, “Feedback for physicists: A tutorial essay on control,” Rev....
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References
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"Feedback for physicists: A tutorial..." refers background in this paper
...Recent papers by Touchette and Lloyd (2000, 2004) begin to explore more formally these links and derive a fundamental relationship between the amount of control achievable (“decrease of entropy” in their formulation) and the “mutual information” (Cover and Thomas, 1991) between the dynamical system and the controller created by an initial interaction....
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"Feedback for physicists: A tutorial..." refers methods in this paper
...For an introduction, see Dutton et al. 1997 ; for full details, see Ljung 1999 ....
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...Alternatively, there are a number of methods that avoid the transfer function completely: from a given input u(t) and measured response y(t), they directly fit to the coefficients of a time-domain model or directly give pole and zero positions (Ljung, 1999)....
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...Alternatively, there are a number of methods that avoid the transfer function completely: from a given input u t and measured response y t , they directly fit to the coefficients of a time-domain model or directly give pole and zero positions Ljung, 1999 ....
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"Feedback for physicists: A tutorial..." refers background in this paper
...The structure of such networks is a topic of intense current interest (Albert and Barabási, 2002; Newman, 2003)....
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