DocumentCode :
727997
Title :
Computation of a lower bound for the induced ℒ2 norm of LPV systems
Author :
Peni, Tamas ; Seiler, Peter
Author_Institution :
Syst. & Control Lab., Inst. for Comput. Sci. & Control (MTA-SZTAKI), Budapest, Hungary
fYear :
2015
fDate :
1-3 July 2015
Firstpage :
114
Lastpage :
118
Abstract :
Determining the induced ℒ2 norm of a linear, parameter-varying (LPV) system is an integral part of many analysis and robust control design procedures. In general, this norm cannot be determined explicitly. Most prior work has focused on efficiently computing upper bounds for the induced ℒ2 norm. This paper presents a complementary algorithm to compute lower bounds for this norm. The proposed approach is based on restricting the parameter trajectory to be a periodic signal. This restriction enables the use of recent results for exact calculation of the ℒ2 norm for a periodic time varying system. The proposed lower bound algorithm has two benefits. First, the lower bound complements standard upper bound techniques. Specifically, a small gap between the bounds indicates that further computation, e.g. upper bounds with more complex Lyapunov functions, is unnecessary. Second, the lower bound algorithm returns a worst-case parameter trajectory for the LPV system that can be further analyzed to provide insight into the system performance. Numerical examples are provided to demonstrate the applicability of the proposed approach.
Keywords :
Lyapunov methods; control system synthesis; linear parameter varying systems; robust control; time-varying systems; LPV systems; complementary algorithm; complex Lyapunov functions; induced ℒ2 norm; linear parameter-varying system; lower bound algorithm; periodic signal; periodic time varying system; robust control design procedures; standard upper bound techniques; worst-case parameter trajectory; Differential equations; Linear systems; Optimization; Processor scheduling; Standards; Trajectory; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2015
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4799-8685-9
Type :
conf
DOI :
10.1109/ACC.2015.7170721
Filename :
7170721
Link To Document :
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