TY - JOUR
T1 - Adaptive cerebellar model articulation controller for a class of nonlinear systems with only output measurement
AU - Hong, Chin Ming
AU - Leu, Yih Guang
N1 - Funding Information:
Research was partially supported by a National Science Foundation Graduate Research Fellowship and ONR grants N00014-02-1-0826 and N00014-04-1-0534. This article presents research results of the Belgian Network Dynamical Systems, Control, and Optimization (DYSCO), funded by the Interuniversity Attraction Poles Program, initiated by the Belgian State, Science Policy Office. The scientific responsibility rests with its authors.
PY - 2008
Y1 - 2008
N2 - Based on the cerebellar model articulation approach, an adaptive output-feedback control for a class of nonlinear systems. A control law of the closed-loop system is derived from an adaptive cerebellar model articulation control approach, and the adjustable parameters of the adaptive cerebellar model articulation controller are updated online by an adaptive law. The stability of the closed-loop system is verified by strictly positive real Lyapunov theory, under the constraint that only the system output measurement is available for feedback. In addition, the system output is guaranteed to asymptotically track a given bounded reference signal. Eventually, the performance of the proposed approach is illustrated by two simulated examples of the nonlinear systems.
AB - Based on the cerebellar model articulation approach, an adaptive output-feedback control for a class of nonlinear systems. A control law of the closed-loop system is derived from an adaptive cerebellar model articulation control approach, and the adjustable parameters of the adaptive cerebellar model articulation controller are updated online by an adaptive law. The stability of the closed-loop system is verified by strictly positive real Lyapunov theory, under the constraint that only the system output measurement is available for feedback. In addition, the system output is guaranteed to asymptotically track a given bounded reference signal. Eventually, the performance of the proposed approach is illustrated by two simulated examples of the nonlinear systems.
KW - Adaptive control
KW - Cerebellar model articulation control
KW - Nonlinear systems
KW - Output feedback control
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U2 - 10.4304/jcp.3.7.48-55
DO - 10.4304/jcp.3.7.48-55
M3 - Article
AN - SCOPUS:78651533604
SN - 1796-203X
VL - 3
SP - 48
EP - 55
JO - Journal of Computers
JF - Journal of Computers
IS - 7
ER -