This limitation could be addressed by using nonlinear cost functions.
Kinetic parameters were obtained by using nonlinear regression.
The kinetic parameters were refined by using nonlinear regression.
Statistical analyses of the resulting tumor data were performed by using nonlinear Poisson and probit models.
Among these important developments is the Input-to-State Stability (ISS) property, which was firstly formulated by Sontag [1] and has found wide use in engineering by incorporating the idea of nonlinear small-gain theorem [2, 3].
Nonlinear small-gain design methods are used to deal with the problem caused by the nonholonomic constraint of the unicycle robot and yield simple conditions for practical implementation.
With the concept of input-to-state practical stability (ISpS) and nonlinear small-gain theorem being extended to stochastic case, by combining stochastic small-gain theorem with backstepping design technique, an adaptive output-feedback controller is proposed.
Much research work has been performed toward the study of nonlinear system by using small-gain theorem [4, 32, 33].
Based on the transformed model, a sufficient criterion of asymptotic stability with H∞ tracking performance is derived for the closed-loop system by using scaled small gain theorem.
A sufficient BIBO stability condition is derived for the closed-loop NCS by using the small gain theorem and the average dwell time technique.
