CDC : 2017 IEEE 56th annual Conference on Decision and Control : 12-15 December 2017.

Format:

Book

Author/Creator:

Institute of Electrical and Electronics Engineers (IEEE), author, issuing body.

Language:

English

Subjects (All):

Adaptive control systems--Congresses.

Adaptive control systems.

Automatic control--Congresses.

Automatic control.

Physical Description:

1 online resource (750 pages)

Place of Publication:

New York : IEEE, 2018.

Summary:

Many real-world control systems, such as the smart grid and human sensorimotor control systems, have decentralized components that react quickly using local information and centralized components that react slowly using a more global view. This paper seeks to provide a theoretical framework for how to design controllers that are decomposed across timescales in this way. The framework is analogous to how the network utility maximization framework uses optimization decomposition to distribute a global control problem across independent controllers, each of which solves a local problem; except our goal is to decompose a global problem temporally, extracting a timescale separation. Our results highlight that decomposition of a multi-timescale controller into a fast timescale, reactive controller and a slow timescale, predictive controller can be near-optimal in a strong sense. In particular, we exhibit such a design, named Multi-timescale Reflexive Predictive Control (MRPC), which maintains a pertimestep cost within a constant factor of the offline optimal in an adversarial setting.

Notes:

Description based on: online resource; title from title screen (IEEE Xplore Digital Library, viewed March 17, 2018).

ISBN:

9781509028733

1509028730