Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Discrete-time negative imaginary control systems using zero-order hold sampling

Loading...
Thumbnail Image

Date

Authors

Shi, Kanghong
Petersen, Ian R.
Vladimirov, Igor G.

Journal Title

Journal ISSN

Volume Title

Publisher

Access Statement

Research Projects

Organizational Units

Journal Issue

Abstract

We develop a discrete-time negative imaginary (NI) framework that reflects how continuous-time NI systems behave under zero-order hold (ZOH) sampling, which is commonly used in digital control implementations. Continuous-time NI theory is built around an analog interconnection involving the instantaneous relationship between inputs and the derivatives of the outputs. After ZOH sampling, however, the controller interacts only with piecewise-constant inputs and sampled outputs. This leads to a fundamentally different input–output structure, which requires a discrete-time notion of NI specifically tied to ZOH sampling. We introduce such a notion, called the ZOH-NI property, and establish a nonlinear feedback stability result showing that a ZOH-NI plant can be asymptotically stabilized using a step-advanced weakly state strictly negative imaginary controller under suitable assumptions. For linear time-invariant systems, we provide necessary and sufficient conditions for the ZOH-NI property in both state-space and frequency-domain forms. In the linear case, the stability conditions reduce to a DC-gain condition. The proposed control framework is illustrated using a nonlinear example.

Description

Citation

Source

Automatica

Book Title

Entity type

Publication

Access Statement

License Rights

Restricted until

abcd