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Division Constraint-based Receding Horizon Control of Nonlinear Discrete-time Systems

机译:非线性离散系统基于分约束的后退水平控制

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摘要

Receding horizon control (RHC) has been paid much attention to for its convenience in design feedback controllers. On the other hand, it also brings many challenges to software and hardware, since an optimization problem has to be solved every specified time. In complex systems, the computation time of each problem increases exponentially with the length of its horizon. In this paper, we consider nonlinear discrete-time systems. To reduce the computation time, we propose a new method named division constraint-based receding horizon control (DCRHC), which decomposes each optimization problem into several subproblems with shorter horizons which can be solved in a shorter time. A simulation of a quadrotor helicopter system is demonstrated to show the effectiveness of DCRHC.
机译:后退水平控制(RHC)由于其在设计反馈控制器中的便利性而倍受关注。另一方面,这也给软件和硬件带来了很多挑战,因为必须在每个指定的时间解决优化问题。在复杂的系统中,每个问题的计算时间随着其范围的长度呈指数增长。在本文中,我们考虑了非线性离散时间系统。为了减少计算时间,我们提出了一种新的方法,称为基于划分约束的后退水平控制(DCRHC),它将每个优化问题分解为几个具有较短水平的子问题,可以在更短的时间内解决。演示了四旋翼直升机系统的仿真,以显示DCRHC的有效性。

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