Reviewing the geometric Hamilton–Jacobi theory concerning Jacobi and Leibniz identities

O Esen, M de León, M Lainz, C Sardón… - Journal of Physics A …, 2022 - iopscience.iop.org
In this survey, we review the classical Hamilton–Jacobi theory from a geometric point of view
in different geometric backgrounds. We propose a Hamilton–Jacobi equation for different …

[图书][B] Discrete-time inverse optimal control for nonlinear systems

EN Sanchez, F Ornelas-Tellez - 2013 - books.google.com
Discrete-Time Inverse Optimal Control for Nonlinear Systems proposes a novel inverse
optimal control scheme for stabilization and trajectory tracking of discrete-time nonlinear …

Neural control of an induction motor with regenerative braking as electric vehicle architecture

E Quintero-Manríquez, EN Sanchez… - … Applications of Artificial …, 2021 - Elsevier
This paper presents the synthesis of an induction motor neural controller and a regenerative
braking controller for an electric vehicle architecture, based on two energy system, a Main …

Particle swarm optimization for discrete-time inverse optimal control of a doubly fed induction generator

R Ruiz-Cruz, EN Sanchez… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
In this paper, the authors propose a particle swarm optimization (PSO) for a discrete-time
inverse optimal control scheme of a doubly fed induction generator (DFIG). For the inverse …

Neural inverse optimal control for discrete-time impulsive systems

G Hernandez-Mejia, AY Alanis, EA Hernandez-Vargas - Neurocomputing, 2018 - Elsevier
Impulsive systems describe processes with at least one state variable is impulsively
changeable. The design of optimal control policies in impulsive systems is a complex task. In …

Treatment for T1DM patients by a neuro-fuzzy inverse optimal controller including multi-step prediction

YY Rios, JA García-Rodríguez, EN Sanchez, AY Alanis… - ISA transactions, 2022 - Elsevier
Diabetes Mellitus is a serious metabolic condition for global health associations. Recently,
the number of adults, adolescents and children who have developed Type 1 Diabetes …

Data-driven adaptive consensus control for heterogeneous nonlinear Multi-Agent Systems using online reinforcement learning

X Ji, X Zhang, S Zhu, F Deng, B Zhu - Neurocomputing, 2024 - Elsevier
In this paper, a distributed control algorithm based on a data-driven approach is developed
to solve the consensus control of heterogeneous nonlinear Multi-Agent Systems (MAS). The …

Multisymplectic Hamiltonian variational integrators

B Tran, M Leok - International Journal of Computer Mathematics, 2022 - Taylor & Francis
Variational integrators have traditionally been constructed from the perspective of
Lagrangian mechanics, but there have been recent efforts to adopt discrete variational …

[图书][B] Doubly fed induction generators: control for wind energy

EN Sanchez, R Ruiz-Cruz - 2016 - taylorfrancis.com
Doubly Fed Induction Generators: Control for Wind Energy provides a detailed source of
information on the modeling and design of controllers for the doubly fed induction generator …

Decentralized control for stabilization of nonlinear multi-agent systems using neural inverse optimal control

M Lopez-Franco, EN Sanchez, AY Alanis… - Neurocomputing, 2015 - Elsevier
This paper proposes a decentralized control for stabilization of nonlinear multi-agent
systems using neural inverse optimal control. This approach consists in synthesizing a …