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Published on: October 14, 2017
Design and robustness of delayed feedback controllers for discrete systems
Ilan Harrington1, Joshua E S Socolar
1Department of Physics and Center for Nonlinear and Complex Systems, Duke University, Durham, North Carolina 27708, USA.
Time-delay feedback control offers an effective alternative to standard methods for high-dimensional discrete time maps. This approach achieves similar stability and robustness, even with noise, simplifying complex system control.
Area of Science:
- Nonlinear dynamics
- Control theory
- Complex systems
Background:
- High-dimensional discrete time maps present challenges for traditional control methods.
- Proportional feedback control is a standard technique for stabilizing such systems.
- Time-delay feedback control offers an alternative approach with potential advantages.
Purpose of the Study:
- To investigate the efficacy of matrix time-delay feedback control for high-dimensional discrete time maps.
- To compare the linear stability properties of time-delay controllers with standard proportional controllers.
- To assess the robustness of time-delay controllers in the presence of noise.
Main Methods:
- Formulation of a matrix time-delay feedback control strategy.
- Analysis of linear stability properties for discrete time maps.
- Investigation of robustness against noise using a coupled map lattice example.
- Numerical simulations to validate analytical findings.
Main Results:
- Time-delay feedback controllers with static elements can achieve identical linear stability as standard proportional controllers.
- The time-delay controller demonstrates robustness comparable to optimal controllers, even with noise.
- Exceptions to robustness occur at specific parameter space points where the uncontrolled system has a Floquet multiplier of 1.
Conclusions:
- Matrix time-delay feedback control is a viable and effective method for high-dimensional discrete time systems.
- This control strategy offers comparable stability and robustness to existing methods, simplifying implementation.
- Further research can explore applications in various complex dynamical systems.
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