[图书][B] Differential neural networks for robust nonlinear control: identification, state estimation and trajectory tracking
AS Poznyak, EN Sanchez, W Yu - 2001 - books.google.com
This book deals with continuous time dynamic neural networks theory applied to the solution
of basic problems in robust control theory, including identification, state space estimation …
of basic problems in robust control theory, including identification, state space estimation …
State-of-the-art integrated guidance and control systems in unmanned vehicles: A review
We comprehensively discuss state-of-the-art integrated guidance and control (IGC) systems,
in applications ranging from guided missiles to unmanned vehicles. Unlike separate …
in applications ranging from guided missiles to unmanned vehicles. Unlike separate …
Direct adaptive fuzzy-neural control with state observer and supervisory controller for unknown nonlinear dynamical systems
CH Wang, HL Liu, TC Lin - IEEE Transactions on Fuzzy …, 2002 - ieeexplore.ieee.org
In this paper, an observer-based direct adaptive fuzzy-neural network (FNN) controller with
supervisory mode for a certain class of high order unknown nonlinear dynamical system is …
supervisory mode for a certain class of high order unknown nonlinear dynamical system is …
Adaptive admittance control for human–robot interaction using model reference design and adaptive inverse filtering
Corobotics involves humans and robots working collaboratively as a team. This requires
physical human-robot interaction (pHRI) systems that can adapt to the preferences of …
physical human-robot interaction (pHRI) systems that can adapt to the preferences of …
Online optimal tracking control of continuous-time linear systems with unknown dynamics by using adaptive dynamic programming
In this paper, a novel theoretic formulation based on adaptive dynamic programming (ADP)
is developed to solve online the optimal tracking problem of the continuous-time linear …
is developed to solve online the optimal tracking problem of the continuous-time linear …
Some new results on system identification with dynamic neural networks
Nonlinear system online identification via dynamic neural networks is studied in this paper.
The main contribution of the paper is that the passivity approach is applied to access several …
The main contribution of the paper is that the passivity approach is applied to access several …
Adaptive hybrid intelligent control for uncertain nonlinear dynamical systems
CH Wang, TC Lin, TT Lee, HL Liu - IEEE Transactions on …, 2002 - ieeexplore.ieee.org
A new hybrid direct/indirect adaptive fuzzy neural network (FNN) controller with a state
observer and supervisory controller for a class of uncertain nonlinear dynamic systems is …
observer and supervisory controller for a class of uncertain nonlinear dynamic systems is …
Direct adaptive interval type-2 fuzzy control of multivariable nonlinear systems
TC Lin, HL Liu, MJ Kuo - Engineering Applications of Artificial Intelligence, 2009 - Elsevier
A fuzzy logic controller equipped with a training algorithm is developed such that the H∞
tracking performance should be satisfied for a model-free nonlinear multiple-input multiple …
tracking performance should be satisfied for a model-free nonlinear multiple-input multiple …
Machine learning models for vessel route forecasting: An experimental comparison
Maritime transport systems are essential to human mobility. A vital part of the maritime
transport systems is the accurate vessel route forecasting (VRF). However, accurate VRF is …
transport systems is the accurate vessel route forecasting (VRF). However, accurate VRF is …
Adaptive neural identification and non-singular control of pure-feedback nonlinear systems
This paper proposes a new constructive identification and adaptive control method for
nonlinear pure-feedback systems, which remedies the'explosion of complexity'and potential …
nonlinear pure-feedback systems, which remedies the'explosion of complexity'and potential …