Closed-Loop Control of Complex Networks: A Trade-Off between Time and Energy

Closed-Loop Control of Complex Networks: A Trade-Off between Time and Energy.

Controlling complex nonlinear networks is largely an unsolved problem at the present. Existing works focus either on open-loop control strategies and their energy consumptions or on closed-loop control schemes with an infinite-time duration. We articulate a finite-time, closed-loop controller with an eye toward the physical and mathematical underpinnings of the trade-off between the control tim...

Closed-loop control of complex nonlinear networks: A tradeoff between time and energy

CONTENTS I. Upper bounds for control time and energy cost 2 A. Preliminaries 2 B. Estimate of control time 2 C. Estimate of control energy cost 4 II. Controlling food-web networks: Data and analyses 6 III. Eigenvalue distributions of ecological networks 6 A. Wigner semicircle law 7 B. Eigenvalue distributions of ecological networks 7 IV. Flexibility of control 9 V. Hindmarsh-Rose neuronal model...

Corrigendum: Trade-offs between driving nodes and time-to-control in complex networks

Recent advances in control theory provide us with efficient tools to determine the minimum number of driving (or driven) nodes to steer a complex network towards a desired state. Furthermore, we often need to do it within a given time window, so it is of practical importance to understand the trade-offs between the minimum number of driving/driven nodes and the minimum time required to reach a ...

Real Time Animation of Virtual Humans: A Trade-off Between Naturalness and Control

Virtual humans are employed in many interactive applications using 3D virtual environments, including (serious) games. The motion of such virtual humans should look realistic (or ‘natural’) and allow interaction with the surroundings and other (virtual) humans. Current animation techniques differ in the trade-off they offer between motion naturalness and the control that can be exerted over the...

Time Optimal Closed - Loop Fuzzy - Control Strategy for Nonlinear Lunar Lander Mission