What question did this study set out to answer?

To develop an augmented model predictive control formulation that guarantees persistent excitation for online model identification while maintaining constraint satisfaction.

May 10, 2013International Journal of Adaptive Control and Signal Processing

Persistently exciting model predictive control

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Authors

GMGiancarlo MarafiotiSINTEF RBRobert R. BitmeadUniversity of Stuttgart MHMorten HovdNorwegian University of Science and Technology

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Implication

Simulation study demonstrates persistent excitation enforcement in model predictive control systems, indicating improved online model identification and adaptive tuning.

Key Points

To develop an augmented model predictive control formulation that guarantees persistent excitation for online model identification while maintaining constraint satisfaction.
Augmented the traditional input constraint set in receding horizon optimization to guarantee signal richness.
Equipped the memoryless state feedback controller with an internal state variable to track historical control signals.
Evaluated theoretical feasibility for periodic excitation signals and verified the framework using a computational numerical example.
Established the analytical feasibility of generating periodic signals that satisfy persistent excitation conditions within model predictive control.
Demonstrated through computational simulation that the augmented controller reliably captures input history and enforces excitation without violating physical system constraints.

Cite This Study

Marafioti et al. (2013) studied this question.

synapsesocial.com/papers/6a129ff1b8b0b51fb9a3fd34 https://doi.org/10.1002/acs.2414

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Implication

Simulation study demonstrates persistent excitation enforcement in model predictive control systems, indicating improved online model identification and adaptive tuning.

Persistently exciting model predictive control

Discussion

Member takes

Implication

Key Points

Cite This Study

Persistently exciting model predictive control

Discussion

Member takes

Implication

Key Points

Cite This Study

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