An L2 Norm Trajectory-Based Local Linearization for Low Order Systems
نویسنده
چکیده
This paper presents a linear transformation for low order nonlinear autonomous differential equations. The procedure consists of a trajectory-based local linearization, which approximates the nonlinear system in the neighborhood of its equilibria. The approximation is possible even in the non-hyperbolic case which is of a particular interest. The linear system is derived using an L2 norm optimization and the method can be used to approximate the derivative at the equilibrium position. Unlike the classical linearization, the L2 norm linearization depends on the initial state and has the same order as the nonlinearity. Simulation results show good agreement of the suggested method with the nonlinear system.
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