Robust internal stabilization is a strong notion of stabilization, whereby stability is maintained regardless of small disturbances, noises, and uncertainties. In this paper, simple tools are developed for achieving robust internal stabilization of a rather large family of nonlinear systems. The main notion is that of a strict observer function, a function characterized by the following feature: subtracting a strict observer function from the differential equation of the controlled system results in an asymptotically stable differential equation. Strict observer functions are relatively easy to derive, and they directly yield robust asymptotic observers; the latter can be combined with robust state feedback controllers to achieve robust internal stabilization.
Skip Nav Destination
Article navigation
July 2015
Research-Article
On Simple Design of Nonlinear Observers for Robust Stabilization of Nonlinear Systems
Jacob Hammer
Jacob Hammer
Department of Electrical
and Computer Engineering,
and Computer Engineering,
University of Florida
,Gainesville, FL 32611
Search for other works by this author on:
Jacob Hammer
Department of Electrical
and Computer Engineering,
and Computer Engineering,
University of Florida
,Gainesville, FL 32611
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received August 19, 2014; final manuscript received February 18, 2015; published online March 26, 2015. Assoc. Editor: Sergey Nersesov.
J. Dyn. Sys., Meas., Control. Jul 2015, 137(7): 071011 (10 pages)
Published Online: July 1, 2015
Article history
Received:
August 19, 2014
Revision Received:
February 18, 2015
Online:
March 26, 2015
Citation
Hammer, J. (July 1, 2015). "On Simple Design of Nonlinear Observers for Robust Stabilization of Nonlinear Systems." ASME. J. Dyn. Sys., Meas., Control. July 2015; 137(7): 071011. https://doi.org/10.1115/1.4029886
Download citation file:
Get Email Alerts
Cited By
Control of a Directional Downhole Drilling System Using a State Barrier Avoidance Based Method
J. Dyn. Sys., Meas., Control
Optimal Control of an R2R Dry Transfer Process with Bounded Dynamics Convexification
J. Dyn. Sys., Meas., Control
In-Situ Calibration of Six-Axis Force/Torque Transducers on A Six-Legged Robot
J. Dyn. Sys., Meas., Control
Special Issue on Data-Driven Modeling and Control of Dynamical Systems
J. Dyn. Sys., Meas., Control
Related Articles
Stochastic Finite-Time Stabilization for a Class of Nonlinear Markovian Jump Stochastic Systems With Impulsive Effects
J. Dyn. Sys., Meas., Control (April,2015)
Proportional-Integral-Observer-Based Backstepping Approach for Position Control of a Hydraulic Differential Cylinder System With Model Uncertainties and Disturbances
J. Dyn. Sys., Meas., Control (December,2018)
A Note on Observer-Based Frequency Control for a Class of Systems Described by Uncertain Models
J. Dyn. Sys., Meas., Control (February,2018)
Guaranteed Performance State-Feedback Gain-Scheduling Control With Uncertain Scheduling Parameters
J. Dyn. Sys., Meas., Control (January,2016)
Related Proceedings Papers
Related Chapters
Fault-Tolerant Control of Sensors and Actuators Applied to Wind Energy Systems
Electrical and Mechanical Fault Diagnosis in Wind Energy Conversion Systems
Efficient Transmission Images with QAM Modulation over an AWGN Channel
International Conference on Computer and Electrical Engineering 4th (ICCEE 2011)
Mash 2-1 Multi-Bit Sigma-Delta Modulator for WLAN
International Conference on Future Computer and Communication, 3rd (ICFCC 2011)