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Titlebook: Emerging Applications of Control and Systems Theory; A Festschrift in Hon Roberto Tempo,Stephen Yurkovich,Pradeep Misra Book 2018 Springer

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https://doi.org/10.1007/b100811ility of the population imposed by the nature of cell biology give rise to an ensemble control problem specified by finding a broadcast input based on the distribution of the population. We solve the problem by a passivity-based control law, which we derive from the reduced phase model representatio
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Dilanthi Amaratunga,Richard Haigh,Nuwan Diasgned to steer their orientations and the control objective is to achieve a desired formation configuration for all the agents subject to constant-speed constraints. Through a formation feasibility analysis by a three-agent example, we show that it is generally impossible to control and maintain a fo
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https://doi.org/10.1057/9781137454003 iteration involves evaluating a proximal operator and projection onto a subspace. In this chapter, we address the critical practical issues of how to select the proximal parameter in each iteration, and how to scale the original problem variables, so as to achieve reliable practical performance. Th
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https://doi.org/10.1057/9781137004925stic parameter uncertainties; (3) time delays; (4) unstable zero dynamics; (5) actuator, state, and output constraints; (6) noise and disturbances; and (7) phenomena described by combinations of algebraic, ordinary differential, partial differential, and integral equations (that is, generalizations
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https://doi.org/10.1007/978-981-16-4493-1owever, due to the unwanted interactions among nodes and with the cellular “chassis”, behavior of a GRN is often context dependent. One source of context dependence that has received much attention recently is the competition among nodes in a GRN for a limited amount of resources provided by the hos
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