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Control synthesis of switched systems is always a hot study topic in the control field for its significance of both theory aspect and practical application. In the past few years, some control problems of switched systems have been successfully solved, but there still are quite many interesting topics deserving further investigation; some of them have been considered in the book.

As mentioned in Chap. 2, for a switched system, even all its subsystems are stable, it may fail to preserve stability under arbitrary switching, but may be stable under restricted switching signals. Therefore, it is of significance to study the controlled-switching stabilization problems of switched systems. The controlled switching may result from the physical constraints of a system or the designers’ intervention [1] which is actually related to the controlled-switching stabilization problem [2]. Generally, the controlled switching in systems could be classified into state-dependent and time-constrained ones.

The last chapter has discussed adaptive control design methods for switched nonlinear systems with uncertainties.

In a certain sense, switching signals in systems can be classified into autonomous (uncontrolled) or controlled ones [1, 2], which respectively, result from the system itself and the designers’ intervention [3].

Control systems often suffer from various limits or constraints in the operation space [1, 2], which may arise out of performance requirements or physical constraints imposed on the system by its environmental regulations.

It has been shown in Ye, Neurocomputing 71:3373–3378 (2008), Yu, et al., Neurocomputing 156:245–251 (2015), Peng, et al., Neurocomputing 149:132–141 (2015), Miao, Neurocomputing 111:184–189 (2013), Xu, Neurocomputing 154:337–346 (2015), [1, 2, 3, 4, 5] that the adaptive backstepping technique is a powerful tool which has been widely used to solve some complex optimization problems and applied in the fields of industry and engineering.