吴迪
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Input-to-State Stability for Networked Predictive Control With Random Delays in Both Feedback and Forward Channels
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Indexed by:期刊论文

Date of Publication:2014-07-01

Journal:IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Included Journals:SCIE、EI、Scopus

Volume:61

Issue:7

Page Number:3519-3526

ISSN No.:0278-0046

Key Words:Control synthesis; input-to-state stability (ISS); networked control systems (NCSs); networked predictive controller; random delays

Abstract:The input-to-state stability (ISS) for a class of networked control systems with random delays and packet dropouts appearing simultaneously in both feedback and forward channels is thoroughly investigated in this paper. A new network predictive controller scheme is introduced in order to compensate the effect of transmission delays and packet dropouts. By making use of the small gain theorem, the stability criteria of the considered new system are derived. The proposed stability conditions are fairly easy to check and considerably less conservative than the existing ones. These criteria reveal that, if the original linear systems are controllable and observable, then, by adopting the proposed networked-predictive-control scheme, the ISS properties can be guaranteed for the overall system despite the effects of networking such as transmission bounded delays, packet dropouts, and possible disturbance inputs. When no disturbance inputs occur, the system stability can be guaranteed for random delays with a certain bound or else for any large constant delays. Results for two illustrative examples are given to validate the proposed control scheme, the second one being a laboratory-scale dc-motor rig.

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Associate Professor
Supervisor of Master's Candidates

Gender:Male

Alma Mater:大连理工大学

Degree:Doctoral Degree

School/Department:控制科学与工程学院

Discipline:Control Theory and Control Engineering

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