Partial-State Decomposition-Based Control of MIMO Nonminimum Phase Nonlinear Systems With Application to a Hypersonic Vehicle Model

Xinhao Zhang, Yanjun Zhang*, Jianliang Ai, Yeguang Wang, Xuelin Zhang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This article proposes a stabilizing control scheme based on partial-state decomposition to exponentially stabilize multi-input and multioutput nonminimum phase nonlinear systems in a general normal form with a general relative degree. The scheme reveals that partial-state variables can play an essential role in stabilizing the whole system. Specifically, partial-state variables are decomposed into a sum of two vector signals s and N. Then, setting s as the output vector, a new normal form is derived. For the new normal form, N and an auxiliary signal are designed to exponentially stabilize the unstable zero/internal dynamics of the auxiliary system; and the real input is designed to ensure that's is exponentially stable. In particular, the zero/internal dynamics dependence on the input is fully considered in this article, and the proposed method ensures global stabilization of the closed-loop system without relying on the existence condition of Lyapunov functions. Finally, a high fidelity hypersonic vehicle model is given to show the design procedure and verify the feasibility and validity of the proposed stabilizing control scheme.

Original languageEnglish
Pages (from-to)2289-2301
Number of pages13
JournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
Volume55
Issue number3
DOIs
Publication statusPublished - 2025

Keywords

  • Feedback linearization
  • nonlinear system
  • nonminimum phase
  • partial-state decomposition
  • stabilization

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