Methods of Solving Complicated Problems in Linear System Theory
Xiaomin Li · Ordnance Industry Automation · 2007
There are many methods to solve complicated problems in linear system theory. Two groups different state variable are adopted in the linear reversible transform to satisfy the requirements of full rank. The design of a matrix of n rank is a key to modeling, analyzing and synthesize. An augmenting system is designed to extend dimension of input, state, output and the coefficient matrixes in the method of augmenting vectors in order to predigest complicated problem. The complicated problems are separated into two or more son-problems by separate principle methods, these son-problems meet separate characteristic. The solution of original problem is solved by analyzing and resolving these son-problems.