@techreport{oai:kyutech.repo.nii.ac.jp:00000683,
 author = {Ito, Hiroshi and 伊藤, 博},
 month = {Jan},
 note = {This paper provides a solution to an inverse optimal robust control problemfor uncertain nonlinear systems. A new version of robust backstepping is proposed inwhich inverse optimality is achieved through the selection of generalized state-dependentscaling factors. Like other robust backstepping methods, this design is always successful foruncertain nonlinear systems in strict-feedback form. The class of cost functionals allowedin the inverse optimal design is such that the uncertainty structure and desired level ofglobal robustness can be prescribed a priori. Furthermore, the inverse optimal control lawcan always be designed such that its linearization is identical to a linear optimal controllaw for the linearized system with respect to a prescribed quadratic cost functional.},
 title = {Generalized State-Dependent Scaling for Local Optimality, Global Inverse Optimality, and Global Robust Stability 12},
 year = {2000},
 yomi = {イトウ, ヒロシ}
}