Adaptive Output Feedback Control of Multivariable Nonlinear Systems Based on Hurwitz Assumption

Xiao Wei Yu; Yan Lin

doi:10.4028/www.scientific.net/AMM.427-429.1085

Paper Titles

A Hardware Method of Realizing IRFPA Nonuniformity Compressing Correction
p.1068

Matching Characteristic of Constant Voltage Source Excited Filter in Power System
p.1072

Comparison of Two Waveform Design Methods Based on MI and SINR
p.1076

The Design of a 1~13 GHz GaAs Travelling Wave Amplifier
p.1080

Adaptive Output Feedback Control of Multivariable Nonlinear Systems Based on Hurwitz Assumption
p.1085

Control of Robot Manipulators Based on Legendre Orthogonal Neural Network
p.1089

A Detection Scheme against Node Replication Attack in Wireless Sensor Network Based on Bloom Filter and QR Decomposition
p.1093

A Sub-1V High Precision CMOS Bandgap Reference
p.1097

Synchronization of Chaotic Gyro Systems via Sliding Mode Control with Cooperative Weights Neural Network
p.1101

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 427-429Adaptive Output Feedback Control of Multivariable...

Adaptive Output Feedback Control of Multivariable Nonlinear Systems Based on Hurwitz Assumption

Abstract:

In this paper, global adaptive output feedback tracking problem is considered for a class of multivariable nonlinear systems with unknown parameters and nonlinear terms linear in unmeasured states. Based on a modified high-gain observer and Hurwitz assumption of high frequency gain matrix, an adaptive backstepping design is proposed, which is able to guarantee global stability of the closed-loop system and circumvent the over-parameterization problem raised by using conventional back stepping method.