Results 111 to 120 of about 11,987,045 (279)

Stability Analisys of SEIR Epidemiological Models with Nonlinear Incidence:Case Study in the Central Java Province, Indonesia [PDF]

, 2011
SEIR epidemic models that are described as the system of ordinary differential equations with nonlinear incidence rates are proposed. In the SEIR model, the total population is divided into four classes, i.e., susceptible, exposed, infective, and ...
Widhayanti, Kurnia, Widowati, Widowati
core   +1 more source

Adaptive control of A class of nonlinear systems with guaranteed parameter estimation: A concurrent learning based approach

IET Control Theory & Applications
Recent advances in concurrent learning based adaptive controllers have relaxed the persistency of excitation condition required to achieve exponential tracking and parameter estimation error convergence.
Serhat Obuz, Erkan Zergeroglu, Enver Tatlicioglu   +2 more
doaj   +1 more source

Climdyn/MAOOAM: MAOOAM v1.3-lyapunov

, 2018
<p>In addition to the new features of v1.3 (ee7af22), the Fortran version of MAOOAM in this release implements the computation of the backward Lyapunov exponents.
Sebastian Schubert (8279286), Sebastian Schubert, Maxime Tondeur, Lesley De Cruz, Jonathan Demaeyer (8266170), Lesley De Cruz (8266167), Jonathan Demaeyer, Maxime Tondeur (8267037)   +7 more
core   +1 more source

Validation of Neural Network Controllers for Uncertain Systems Using the Keep‐Close Approach: Robustness Analysis and Safety Verification

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT The safety verification of neural network (NN) controllers operating in uncertain environments characterized by unmodeled dynamics, nonlinearities, and time delays remains a fundamental challenge in robust control analysis. This article introduces a novel method, termed Keep‐Close, for analyzing the performance and robustness of uncertain ...
Abdelhafid Zenati, Nabil Aouf
wiley   +1 more source

An extension of Lyapunov's direct method.

Michigan Mathematical Journal, 1965
Bhatia, Nam P., Lakshmikantham, V.
openaire   +3 more sources

Terrain‐Adaptive Quadrupedal Locomotion Using Model Predictive Control With Impedance Control and SINDy Model Enhancement

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Quadrupedal robots operating in unstructured environments require adaptive control systems that can handle diverse terrain conditions without prior surface characterization. This paper presents an integrated control architecture that combines Model Predictive Control (MPC) with adaptive impedance control and SINDy‐based model corrections for ...
Peter James McConnellogue, Mien Van, Rhyss McMullan, Dianhao Zhang, Wasif Naeem   +4 more
wiley   +1 more source

Balanced truncation model reduction of periodic systems [PDF]

, 2000
The balanced truncation approach to model reduction is considered for linear discrete-time periodic systems with time-varying dimensions. Stability of the reduced model is proved and a guaranteed additive bound is derived for the approximation error ...
Varga, Andras
core  

Sliding Motions on Non‐Euclidean State Spaces: A Differential‐Geometric Perspective

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper extends sliding‐mode control theory to nonlinear systems evolving on smooth manifolds. Building on differential geometric methods, we reformulate Filippov's notion of solutions, characterize well‐defined vector fields on quotient spaces, and provide a consistent geometric definition of higher‐order sliding modes.
Fernando Castaños
wiley   +1 more source

Observer Design for Vector Nonlinear Systems With Applications to Autonomous Vehicles and Robots

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper focuses on observer design for nonlinear systems involving functions of vector arguments. The output equations and the process dynamics are both composed of nonlinear functions of nonseparable multivariable states. The partial derivatives of the nonlinear functions are assumed to be bounded.
Gaurav Sharma, Ali Zemouche, Rajesh Rajamani   +2 more
wiley   +1 more source

Privacy‐Preserving Data‐Driven Distributed MPC for Heterogeneous Nonlinear Multi‐Agent Systems

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Distributed model predictive control (DMPC) is a cornerstone for coordinating multi‐agent systems, yet simultaneously ensuring data privacy, handling unknown nonlinear dynamics, and managing heterogeneous constraints remains an open challenge.
Mahmood Mazare, Hossein Ramezani
wiley   +1 more source