Controller Design for Polynomial Nonlinear Systems with Affine Uncertain Parameters
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摘要: 针对含仿射时变不确定参数的多项式非线性系统,提出了基于多项式分解的控制方法. 多项式分解方法主要思想是将多项式系统转化成带自由变量的系数矩阵,从而偶次多项式的非负性验证问题可转化成线性矩阵不等式或双线性矩阵不等式求解问题. 文中多项式系统控制器综合基于 Lyapunov 稳定定理. 构造 Lyapunov 函数以及寻找反馈控制器可由所给的算法通过计算机程序自动完成. 对于多维系统相对高阶的控制器,由多项式全基构造的控制器将有很多项单项式. 为克服这一问题,文中算法给出含最少单项式的简约型控制器设计方法,并提出针对最小代价性能目标优化的增益受约次优控制. 数值仿真例子表明,文中所给的控制方法取得良好性能.Abstract: By means of polynomial decomposition, a control scheme for polynomial nonlinear systems with affine time-varying uncertain parameters is presented. The idea of polynomial decomposition is to convert the coefficients of polynomial into a matrix with free variables, so that the nonnegativity of polynomials with even orders can be checked by linear matrix inequality (LMI) solvers or bilinear matrix inequality (BMI) solvers. Control synthesis for polynomial nonlinear system is based on Lyapunov stability theorem in this paper. Constructing Lyapunov function and finding feedback controller are automatically finished by computer programming with algorithms given in this paper. For multidimension systems with relatively high-order controller, the controller constructed with full monomial base will be in numerous terms. To overcome this problem, the reduced-form controller with minimum monomial terms is derived by the proposed algorithm. Then a suboptimal control aiming at minimum cost performance with gain constraints is advanced. The control scheme achieves effective performance as illustrated by numerical examples.
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Key words:
- Nonlinear control /
- semidefinite programming relaxation /
- robust control
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