Tracking control of MIMO nonlinear systems under full state constraints: A single-parameter adaptation approach free from feasibility conditions
This paper investigates the tracking control problem of a class of multi-input multi-output
(MIMO) nonlinear systems under asymmetric full-state constraints. By integrating a nonlinear …
(MIMO) nonlinear systems under asymmetric full-state constraints. By integrating a nonlinear …
Uniform trigonometrization method for optimal control problems with control and state constraints
Application of indirect optimization methods to solve constrained optimal control problems is
not a straightforward task. This study presents a new construct, the Uniform …
not a straightforward task. This study presents a new construct, the Uniform …
Optimal control and the Pontryagin's principle in chemical engineering: History, theory, and challenges
O Andrés‐Martínez, O Palma‐Flores… - AIChE …, 2022 - Wiley Online Library
In the mid‐1950s, Pontryagin et al. published a principle that became a fundamental
concept in optimal control (OC) theory. The principle provides theoretical and practical …
concept in optimal control (OC) theory. The principle provides theoretical and practical …
Robust safe reinforcement learning control of unknown continuous-time nonlinear systems with state constraints and disturbances
Industrial processes must operate safely and optimally in practice, which typically entails
solving a constrained optimal control (COC) problem. Finding a control policy for such a …
solving a constrained optimal control (COC) problem. Finding a control policy for such a …
Optimal drive of electric vehicles using an inversion-based trajectory generation approach
N Petit, A Sciarretta - IFAC Proceedings Volumes, 2011 - Elsevier
This paper considers an energy management problem for an electric vehicle and explains
how to solve it with an inversion-based approach. Modeling assumptions are discussed and …
how to solve it with an inversion-based approach. Modeling assumptions are discussed and …
Koopman-based MPC with learned dynamics: Hierarchical neural network approach
M Wang, X Lou, W Wu, B Cui - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
This article presents a data-driven control strategy for nonlinear dynamical systems,
enabling the construction of a Koopman-based linear system associated with nonlinear …
enabling the construction of a Koopman-based linear system associated with nonlinear …
An interior penalty method for optimal control problems with state and input constraints of nonlinear systems
P Malisani, F Chaplais, N Petit - Optimal Control Applications …, 2016 - Wiley Online Library
This paper exposes a methodology to solve state and input constrained optimal control
problems for nonlinear systems. In the presented 'interior penalty'approach, constraints are …
problems for nonlinear systems. In the presented 'interior penalty'approach, constraints are …
Unified trigonometrization method for solving optimal control problems in atmospheric flight mechanics
Application of indirect optimization methods to solve constrained optimal control problems
(OCPs) is a challenging task. This study demonstrates the utility of a new construct, the …
(OCPs) is a challenging task. This study demonstrates the utility of a new construct, the …
Nonlinear model predictive control for ecological driver assistance systems in electric vehicles
Abstract Battery Electric Vehicle (BEV) has one of the most promising drivetrain technology.
However, the BEVs are facing the limited cruising range which generally reduces their share …
However, the BEVs are facing the limited cruising range which generally reduces their share …
Pontryagin neural networks with functional interpolation for optimal intercept problems
In this work, we introduce Pontryagin Neural Networks (PoNNs) and employ them to learn
the optimal control actions for unconstrained and constrained optimal intercept problems …
the optimal control actions for unconstrained and constrained optimal intercept problems …