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<p>This paper is concerned with the inertial projection neural network (IPNN) for solving inverse quasi-variational inequalities (IQVI) problems with a moving set. It is shown that the proposed IPNN method can guarantee the uniqueness of the solution to the considered IQVI problem under appropriate conditions. Moreover, this approach is not only asymptotically stable but also exponentially stable at the equilibrium solution. Numerical experiments demonstrate the effectiveness of the IPNN method given here.</p>

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An inertial projection neural network for solving inverse quasi-variational inequalities

  • 期刊论文

  • 发表日期：

    2026年1月31日

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  • Qun Li,
  • Guolin Chen,
  • Maolin Liang

摘要

This paper is concerned with the inertial projection neural network (IPNN) for solving inverse quasi-variational inequalities (IQVI) problems with a moving set. It is shown that the proposed IPNN method can guarantee the uniqueness of the solution to the considered IQVI problem under appropriate conditions. Moreover, this approach is not only asymptotically stable but also exponentially stable at the equilibrium solution. Numerical experiments demonstrate the effectiveness of the IPNN method given here.