模预测控制

资 源 简 介

nonlinear　model　predictive　control（模预测控制）

详 情 说 明

Nonlinear Model Predictive Control (NMPC) is a type of control strategy that is used extensively in a wide range of industries and applications. NMPC is a powerful tool for controlling complex systems that are subject to nonlinear dynamics and constraints. The basic idea behind NMPC is to use a mathematical model of the system and an optimization algorithm to compute the optimal control action that will achieve the desired system behavior.

NMPC can be used in many different applications, such as robotics, chemical plants, power systems, and aerospace. One of the key benefits of NMPC is that it can handle nonlinear systems, which are often difficult to control with traditional linear control methods. In addition, NMPC can handle constraints on the system, such as limits on the inputs or outputs of the system. This makes NMPC a very versatile and powerful tool for a wide range of control problems.

Another advantage of NMPC is that it is able to handle disturbances and uncertainties in the system. This is because NMPC uses a model-based approach, which means that it can predict the behavior of the system in the future and plan accordingly. This makes NMPC very robust and able to handle unexpected changes in the system.

Overall, NMPC is a powerful and versatile tool for controlling complex systems. Its ability to handle nonlinear dynamics, constraints, and uncertainties makes it a valuable tool for many different applications.