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Design of Learning Flight Control System Using Input Matching

机译:基于输入匹配的学习型飞行控制系统设计

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摘要

Application of a linear controller to a nonlinear system may cause deterioration of control system performance. Aircraft performance improve- ments have led to consideration of modeling of aircraft motion as nonlinear systems with nonlinear flight controllers. Neural control can be useful as a controller for a nonlinear system. Learning Architecture may be classified into general learning, specialized learning, forward and inverse modeling and feedback-error learning systems.
机译:将线性控制器应用于非线性系统可能会导致控制系统性能下降。飞机性能的提高已导致考​​虑将飞机运动建模为带有非线性飞行控制器的非线性系统。神经控制可以用作非线性系统的控制器。学习架构可以分为普通学习,专门学习,正向和反向建模以及反馈错误学习系统。

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