Sparsity-Constrained Mixed $H_{2}/H_{\infty}$ Control
advances in computing and communications(2018)
摘要
We propose an algorithm for designing sparsity-constrained controllers for linear time-invariant systems with model uncertainties using a mixed $H_{2}/H_{infty}$ objective. We first improve a previously proposed descent algorithm for mixed $H_{2}/H_{infty}$ control using a modified Zoutendijku0027s method. Thereafter, we impose a sparsity constraint on this design by combining it with a greedy gradient support pursuit (GraSP) method. The proposed algorithm guarantees a predetermined level of sparsity while maintaining acceptable $H_{2}$ performance as well as $H_{infty}$ robustness to uncertainties in the open-loop model. The effectiveness of the proposed method is illustrated through simulations.
更多查看译文
关键词
sparse controller,and control,Linear Matrix Inequality (LMI),model uncertainty,convex optimization
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要