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For this class of systems Luenberger-like observers can be designed: the dynamics of the error between the states of the observer and the immersed controlled system is linear.
In this case, and if well designed, the dynamics effects of wage subsidies could compensate for implementation costs.
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The resulting mathematical models have manageable mathematical complexity, allowing to study and design the dynamics of multi-agent systems.
Control-theoretic models are a convenient means for investigating and designing the dynamics of such networks, but the fidelity of these models is not well understood.
Mathematical models were designed for the dynamics of the number of repeats in microsatellites, incorporating additive mechanisms similar to indels in our model and/or multiplicative mechanisms due to recombination.
In addition, we present a decentralized algorithm to design the consensus dynamics.
We find that designing the plant dynamics to have a heteroclinic connection between target states enables a low energy transfer between the states.
In the SPAC design, the dynamics of the rotary machine systems is first converted from the temporal to spatial coordinates.
The specific aim of the model is to study in a factorial design the dynamics of the kite population in relation to two scale parameters, the temporal interval between droughts and the spatial correlation between droughts.
We could also design the degree of dynamics of social interactions using frequent data exchange for neighbor discovery.
Using tools of nonlinear dynamics we show how the designed agent-based dynamics recover the high performing value-sensitive decision-making of the honeybees and rigorously connect investigation of mechanisms of animal group decisionmaking to systematic, bio-inspired control of multi-agent network systems.
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