The problem of stabilization of uncertain systems plays a broad and fundamental role in robust control theory. The paper examines a boundedness theorem for a class of uncertain systems characterized as having a decreasing Lyapunov function in a ringlike region. It is a systematic study on stability that embraces both the transient and steady analysis, covering such aspects as the maximum overshoot of the system state, the stability region and the exponential convergence rate. The emphasis throughout is on deriving dominant time constants and explicit time expressions for a state to reach an invariant set. The central theorem provides a complete treatment of the time evolution of trajectories depending on the specific compact set of initial conditions. Toward this end, the comparison lemma along with a particular Riccati differential equation are essential and conclusive. The scope of questions addressed in the paper, the uniformity of their treatment, the novelty of the proposed theorem, and the obtained results make it very useful with respect to other works on the problem of robust nonlinear control.
Skip Nav Destination
Sistemas y Automática,
Universidad Politécnica de Cartagena,
Campus Muralla del Mar,
Cartagena
Article navigation
September 2013
Research-Article
Convergence Rates of a Class of Uncertain Dynamic Systems
Juan Ignacio Mulero-Martínez
Sistemas y Automática,
Universidad Politécnica de Cartagena,
Campus Muralla del Mar,
Cartagena
Juan Ignacio Mulero-Martínez
Departamento de Ingeniería de
Sistemas y Automática,
Universidad Politécnica de Cartagena,
Campus Muralla del Mar,
Cartagena
30203
, Spain
Search for other works by this author on:
Juan Ignacio Mulero-Martínez
Departamento de Ingeniería de
Sistemas y Automática,
Universidad Politécnica de Cartagena,
Campus Muralla del Mar,
Cartagena
30203
, Spain
Contributed by the Dynamic Systems Division of ASME for publication in the Journal of Dynamic Systems, Measurement, and Control. Manuscript received September 15, 2010; final manuscript received March 14, 2013; published online May 14, 2013. Assoc. Editor: Eugenio Schuster.
J. Dyn. Sys., Meas., Control. Sep 2013, 135(5): 051001 (8 pages)
Published Online: May 21, 2013
Article history
Received:
September 15, 2010
Revision Received:
March 14, 2013
Citation
Mulero-Martínez, J. I. (May 21, 2013). "Convergence Rates of a Class of Uncertain Dynamic Systems." ASME. J. Dyn. Sys., Meas., Control. September 2013; 135(5): 051001. https://doi.org/10.1115/1.4024078
Download citation file:
28
Views
Get Email Alerts
Cited By
An Adaptive Sliding-Mode Observer-Based Fuzzy PI Control Method for Temperature Control of Laser Soldering Process
J. Dyn. Sys., Meas., Control
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
A Note on Observer-Based Frequency Control for a Class of Systems Described by Uncertain Models
J. Dyn. Sys., Meas., Control (February,2018)
Reliable Dissipative Sampled-Data Control for Uncertain Systems With Nonlinear Fault Input
J. Comput. Nonlinear Dynam (July,2016)
Stochastic Finite-Time Stabilization for a Class of Nonlinear Markovian Jump Stochastic Systems With Impulsive Effects
J. Dyn. Sys., Meas., Control (April,2015)
Delay-independent Stability of Uncertain Control Systems
J. Vib. Acoust (April,2002)
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
Accommodation and Stability of Alloying Elements in Amorphous Grain Boundaries of Zirconia
Zirconium in the Nuclear Industry: 20th International Symposium
IEL: A New Localization Algorithm for Wireless Sensor Network
International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)