This paper proposes an uncertainty and disturbance estimator (UDE)-based controller for nonlinear systems with mismatched uncertainties and disturbances, integrating the UDE-based control and the conventional backstepping scheme. The adoption of the backstepping scheme helps to relax the structural constraint of the UDE-based control. Moreover, the reference model design in the UDE-based control offers a solution to address the “complexity explosion” problem of the backstepping approach. Furthermore, the strict-feedback form condition in the conventional backstepping approach is also relaxed by using the UDE-based control to estimate and compensate “disturbance-like” terms including nonstrict-feedback terms and intermediate system errors. The uniformly ultimate boundedness of the closed-loop system is analyzed. Both numerical and experimental studies are provided.
Skip Nav Destination
Article navigation
December 2018
Research-Article
Uncertainty and Disturbance Estimator-Based Backstepping Control for Nonlinear Systems With Mismatched Uncertainties and Disturbances
Jiguo Dai,
Jiguo Dai
Department of Mechanical Engineering,
Texas Tech University,
Lubbock, TX 79409
e-mail: jiguo.dai@ttu.edu
Texas Tech University,
Lubbock, TX 79409
e-mail: jiguo.dai@ttu.edu
Search for other works by this author on:
Beibei Ren,
Beibei Ren
Department of Mechanical Engineering,
Texas Tech University,
Lubbock, TX 79409
e-mail: beibei.ren@ttu.edu
Texas Tech University,
Lubbock, TX 79409
e-mail: beibei.ren@ttu.edu
Search for other works by this author on:
Qing-Chang Zhong
Qing-Chang Zhong
Department of Electrical & Computer
Engineering,
Illinois Institute of Technology,
Chicago, IL 60616
e-mail: zhongqc@ieee.org
Engineering,
Illinois Institute of Technology,
Chicago, IL 60616
e-mail: zhongqc@ieee.org
Search for other works by this author on:
Jiguo Dai
Department of Mechanical Engineering,
Texas Tech University,
Lubbock, TX 79409
e-mail: jiguo.dai@ttu.edu
Texas Tech University,
Lubbock, TX 79409
e-mail: jiguo.dai@ttu.edu
Beibei Ren
Department of Mechanical Engineering,
Texas Tech University,
Lubbock, TX 79409
e-mail: beibei.ren@ttu.edu
Texas Tech University,
Lubbock, TX 79409
e-mail: beibei.ren@ttu.edu
Qing-Chang Zhong
Department of Electrical & Computer
Engineering,
Illinois Institute of Technology,
Chicago, IL 60616
e-mail: zhongqc@ieee.org
Engineering,
Illinois Institute of Technology,
Chicago, IL 60616
e-mail: zhongqc@ieee.org
1Corresponding author.
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT,AND CONTROL. Manuscript received December 9, 2016; final manuscript received June 19, 2018; published online July 23, 2018. Assoc. Editor: Manish Kumar.
J. Dyn. Sys., Meas., Control. Dec 2018, 140(12): 121005 (11 pages)
Published Online: July 23, 2018
Article history
Received:
December 9, 2016
Revised:
June 19, 2018
Citation
Dai, J., Ren, B., and Zhong, Q. (July 23, 2018). "Uncertainty and Disturbance Estimator-Based Backstepping Control for Nonlinear Systems With Mismatched Uncertainties and Disturbances." ASME. J. Dyn. Sys., Meas., Control. December 2018; 140(12): 121005. https://doi.org/10.1115/1.4040590
Download citation file:
Get Email Alerts
Fault detection of automotive engine system based on Canonical Variate Analysis combined with Bhattacharyya Distance
J. Dyn. Sys., Meas., Control
Multi Combustor Turbine Engine Acceleration Process Control Law Design
J. Dyn. Sys., Meas., Control (July 2025)
Related Articles
Robust Control of Uncertain Nonlinear Systems: A Nonlinear DOBC Approach
J. Dyn. Sys., Meas., Control (July,2016)
Nonlinear Robust Output Stabilization for Mechanical Systems Based on Luenberger-Like Controller/Observer
J. Dyn. Sys., Meas., Control (August,2017)
Stochastic Finite-Time Stabilization for a Class of Nonlinear Markovian Jump Stochastic Systems With Impulsive Effects
J. Dyn. Sys., Meas., Control (April,2015)
A Unified Design Approach to Repetitive Learning Control for Systems Subject to Fractional Uncertainties
J. Dyn. Sys., Meas., Control (June,2018)
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
Dynamic Simulations to Become Expert in Order to Set Fuzzy Rules in Real Systems
International Conference on Advanced Computer Theory and Engineering, 4th (ICACTE 2011)
Norms of Feedback Systems
Robust Control: Youla Parameterization Approach