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An exact solution to general four-block discrete-time mixed /spl Hscr//sub 2///spl Hscr//sub /spl infin// problems via convex optimization

机译:通过凸优化对一般四块离散时间混合/ spl Hscr // sub 2 /// spl Hscr // sub / spl infin /的精确解决方案

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摘要

The mixed /spl Hscr//sub 2//spl Hscr//sub /spl infin// control problem can be motivated as a nominal LQG optimal control problem subject to robust stability constraints, expressed in the form of an /spl Hscr//sub /spl infin// norm bound. This paper contains a solution to a general four-block mixed /spl Hscr//sub 2///spl Hscr//sub /spl infin// problem, based upon constructing a family of approximating problems. Each one of these problems consists of a finite-dimensional convex optimization and an unconstrained standard /spl Hscr//sub /spl infin// problem. The set of solutions is such that in the limit the performance of the optimal controller is recovered, allowing one to establish the existence of an optimal solution. Although the optimal controller is not necessarily finite-dimensional, it is shown that a performance arbitrarily close to the optimal can be achieved with rational controllers. Moreover, the computation of a controller yielding a performance /spl epsiv/-away from optimal requires the solution of a single optimization problem, a task that can be accomplished in polynomial time.
机译:/ spl Hscr // sub 2 // spl Hscr // sub / spl infin //的混合控制问题可以作为标称LQG最优控制问题而受到严格的稳定性约束,以/ spl Hscr //的形式表示子/ spl infin //规范约束。本文在构造一系列近似问题的基础上,针对普通的四块混合/ spl Hscr // sub 2 /// spl Hscr // sub / spl infin //问题提供了解决方案。这些问题中的每一个都包括有限维凸优化和无约束标准/ spl Hscr // sub / spl infin //问题。该组解决方案使得在极限情况下恢复了最佳控制器的性能,从而使人们能够确定最佳解决方案的存在。尽管最优控制器不一定是有限维的,但它表明,使用理性控制器可以实现任意接近最优性能。而且,要使控制器的性能偏离最佳值/ spl epsiv /,就需要解决单个优化问题,该任务可以在多项式时间内完成。

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