OCP-MPC-Toolbox is a MATLAB toolbox for nonlinear model predictive control (MPC) based on optimal control principle (OCP). This toolbox implements efficient OCP-based optimization algorithms with ...

The UN High-Level Meeting on the Prevention of Noncommunicable Diseases and Mental Health (NCDs) in 2025 is a key moment for Heads of State and Government, civil society, academia, philanthropies, and ...

Abstract: Novel nonlinear functions are introduced to construct first-order nonlinear filters to address the following critical issues encountered in widely used dynamic surface control (DSC) methods.

In everyday life, many systems obey simple, linear rules: if you pull twice as hard on a spring, it stretches twice as far. However, when we introduce very large forces or complicated interactions, ...

Stochastic dynamics in nonlinear control systems concerns the design, analysis and implementation of controllers for systems whose behaviour is governed by nonlinear equations and influenced by random ...

Adaptive Dynamic Programming (ADP) has emerged as a powerful framework for the design of optimal control policies in nonlinear dynamical systems, particularly when precise mathematical models are ...

The Liu financial dynamical system is a chaotic model that has been extensively studied for its applicability to financial and economic activities. This study examines chaos management and ...

Abstract: The asymptotic tracking control problem is investigated for nonstrict-feedback switched nonlinear systems by developing a dynamic event-triggered adaptive control technology. A key ...