A robust decoupling controller for fractional-order multivariable systems with dynamic quantization.

IF 6.5
Mohammad Zahed Abolhasani, Ali Akbarzadeh Kalat
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引用次数: 0

Abstract

This paper proposes an LMI-based framework for robust decoupling control of uncertain fractional-order MIMO systems with input quantization and constant reference tracking. The closed-loop dynamics are decomposed into diagonal and interaction components, and the decoupling problem is formulated using a singular-value-based H∞ criterion. Sufficient LMIs are derived for both maximum and minimum singular values of fractional-order transfer matrices, while the fractional Lyapunov discrepancy induced by the Caputo memory is characterized and bounded in the frequency domain. A reference-aware quantization scheme preserves symmetry around nonzero operating points, and auxiliary dynamics compensate transient saturation mismatch. A history-compatible hybrid zooming strategy certifies admissible zoom-in updates. Under the stated condition of infinitely many certified non-Zeno updates, asymptotic tracking convergence is established. TRMS simulations validate effectiveness.

具有动态量化的分数阶多变量系统鲁棒解耦控制器。
提出了一种基于lmi的不确定分数阶MIMO系统鲁棒解耦控制框架。将闭环动力学分解为对角分量和相互作用分量,利用基于奇异值的H∞准则求解解耦问题。给出了分数阶传递矩阵奇异值最大值和最小值的充分LMIs,并在频域上对Caputo记忆引起的分数阶Lyapunov差异进行了表征和有界。参考感知量化方案保持非零工作点周围的对称性,辅助动力学补偿瞬态饱和失配。历史兼容的混合缩放策略证明可接受的缩放更新。在给定的无穷多个证明的非zeno更新条件下,建立了渐近跟踪收敛性。TRMS仿真验证了其有效性。
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