摘要30 多年来, 模型预测控制(Model predictive control, MPC) 的理论和技术得到了长足的发展,
但面对经济社会迅速发展对约束优化控制提出的不断增长的要求, 现有的模型预测控制理论和 …

For the last 30 years the theory and technology of model predictive control (MPC) have been
developed rapidly. However, facing the increasing requirements on the constrained …

Portfolio optimization is one of the most important investment strategies in financial markets.
It is practically desirable for investors, especially high-frequency traders, to consider …

Artificial neural networks or neural networks (NN) are new computational models based on
the working of biological neurons of human body. A NN model consists of an interactive …

This paper considers cooperative kinematic control of multiple manipulators using
distributed recurrent neural networks and provides a tractable way to extend existing results …

The problem of dynamic task allocation in a distributed network of redundant robot
manipulators for pathtracking with limited communications is investigated in this paper …

In this paper, we present a neurodynamic approach to model predictive control (MPC) of
unknown nonlinear dynamical systems based on two recurrent neural networks (RNNs). The …

A new coordination control is developed in this paper for multiple non-holonomic robots in a
competitive manner for target tracking with limited communications. In this proposed control …

Redundancy resolution is a critical problem in the control of robotic manipulators. Recurrent
neural networks (RNNs), as inherently parallel processing models for time-sequence …

This paper presents a one-layer projection neural network for solving nonsmooth
optimization problems with generalized convex objective functions and subject to linear …