Title :
and
Low-Gain Feedback: Their Properties, Characterizations and Application
Author :
Bin Zhou ; Lin, Zongli ; Duan, Guang-Ren
Author_Institution :
Center for Control Theor. & Guidance Technol., Harbin Inst. of Technol., Harbin, China
fDate :
5/1/2011 12:00:00 AM
Abstract :
Low-gain feedback has found several applications in constrained control, robust control, and nonlinear control. In this paper, we first generalize the existing low-gain design methods by introducing the notion of L∞-vanishment and by providing a full characterization of feedback gains that achieve such a property. We observe that L∞ low-gain feedback can lead to energy peaking, namely, the control energy required by L∞ low-gain feedback increases toward infinity as the low-gain parameter decreases to zero. Motivated by this observation, we consider the notion of L2-vanishment and establish several of its characterizations, based on which a new design approach referred to as the L2 low-gain feedback approach for linear systems is developed. Different from the L∞ low-gain feedback, the L2 low-gain feedback is instrumental in the control of systems with control energy constraints. As an application of L2 low-gain feedback, the problem of semiglobal stabilization of linear systems with control energy constraints is solved in this paper. The notions of L∞ and L2-vanishment also allow us to establish a systematic approach to the design of L∞ and L2 low-gain feedback. The advantage of this new design approach is that it results in a family of control laws, including those resulting from the existing design methods.
Keywords :
feedback; linear systems; nonlinear control systems; robust control; L∞ low gain feedback; L∞ vanishment; L2 low gain feedback; constrained control; linear systems; nonlinear control; robust control; semiglobal stabilization; Actuators; Eigenvalues and eigenfunctions; Equations; Gain; Linear systems; Systematics; $L_{infty}$ and $L_{2}$ low-gain feedback; $L_{infty}$ and $L_{2}$-vanishment; Constrained control; energy constraints; parametric Lyapunov equation; semiglobal stabilization; slow peaking;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2010.2073970