Optimal Tracking Performance Analysis of MIMO Control Systems Under Multiple Constraints
研究了线性时不变多输入多输出系统在量化、信道噪声、编解码和带宽约束下的最优跟踪性能，分析了非最小相位零点和不稳定极点对性能的限制，并通过仿真验证了方法的准确性。
This article is concerned with the optimal tracking performance on linear time-invariant (LTI) discrete-time multi-input–multi-output (MIMO) systems based on quantization, channel noise, and encoding–decoding, as well as bandwidth constraints. Meanwhile, power constraint, feedback and feedforward loops constraints of the systems are also taken into account. The tracking performance expression is described by inner–outer factorization, which is obtained by all stabilizing two-degree-of-freedom compensators. The results will illustrate that tracking performance limitation is decided by nonminimum phase zeros and unstable poles of the given plant. Moreover, time delay, encoding–decoding, channel noise, quantization, and bandwidth constraints also impact the performance. The accuracy of the method is verified by simulation examples.