a new model predictive control strategy for affine nonlinear control systems 星级: 5 页 涡轴发动机非线性模型预测控制 nonlinear model predictive control for turboshaft engine 星级: 5 页 基于hammerstein模型的非线性建模与预测控制 nonlinear modeling and model predictive control based on hammerstein mode...
·StateK.ey of0cean ofNaval aJld LaboraIoryEngineering;b.sch00lArchitecture,0cean Civi王En百nee咖g, Jiao Shanghai 200030,China) 7rongUniVersity,Shanghai Abstract:Anmodel controlIeris for analyticpredictive pIesented ofanunderactuated pathfollowing a mathematicalmodelof shipmaneuVeringpredefined motion...
(iii) The control strategy should be robust with respect to uncertain model parameters, as, e.g., inductances of the converter. (iv) It is assumed that the load current il cannot be measured. A model predictive control (MPC) concept is proposed in this section for the optimal control of...
Many model predictive control algorithms have been formulated with the objective of including chance constraints and the shaping of probability density functions (PDFs) of system states and outputs. Although many algorithms consider time-varying (TV) uncertainty, the consideration of time-invariant (TI...
Economic Model Predictive Control and Nonlinear Control Actuator Dynamics(经济模型预测控制和非线性控制执行器动力学) 文档格式: .pdf 文档大小: 1.72M 文档页数: 219页 顶/踩数: 0/0 收藏人数: 0 评论次数: 0 文档热度: 文档分类: 论文--自然科学论文 ...
Nonlinear model predictive control (NMPC) is widely used in the process and chemical industries and increasingly for applications, such as those in the automotive industry, which use higher data sampling rates. Nonlinear Model Predictive Control is a thorough and rigorous introduction to NMPC for di...
Nonlinear Model predictive control (NMPC) suffers from the problems of closed loop instability and computation complexity, which greatly limits its application in mechatronic systems involving fast time-varying dynamics. In this paper, a new NMPC enhanced by generalized pointwise min-norm (GPMN) sche...
"Nonlinear Model Predictive Control" is a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC is interpreted as an approximation of infinite-horizon optimal control so that important properties like closed-loop stability, inve...
In this paper the purpose is to present a nonlinear model based predictive control of autonomous steering for the ground vehicles. The vehicle lateral dynamics mathematical model including the most important nonlinearities such as lateral tire forces, the optimal control problem and the steering control...
system identification; model predictive control; obstacles avoidance; hexacopter UAV; system constraints; optimization 1. Introduction 1.1. Motivation In recent years, the field of robotics has experienced exponential growth due to fast technological advances. The applications are not restricted to the ...