1 Department of Energy Technology, The Faculty of Engineering and Science, Aalborg University, VBN2 Fluid Power and Mechatronic Systems, The Faculty of Engineering and Science, Aalborg University, VBN3 The Faculty of Engineering and Science (TECH), Aalborg University, VBN4 Automation & Control, The Technical Faculty of IT and Design, Aalborg University, VBN5 Aalborg U Robotics, The Faculty of Humanities, Aalborg University, VBN6 Department of Electronic Systems, The Technical Faculty of IT and Design, Aalborg University, VBN7 Strategic Research Centre on Zero Energy Buildings, The Faculty of Engineering and Science, Aalborg University, VBN
Control configuration selection is the procedure of choosing the appropriate input and output pairs for the design of SISO (or block) controllers. This step is an important prerequisite for a successful industrial control strategy. In industrial practices it is often the case that systems, which are needed to be controlled, are nonlinear and linear models are insufficient to describe the behavior of the processes. The focus of this paper is on the problem of control configuration selection for a class of nonlinear systems which is known as bilinear systems. A gramian-based interaction measure for control configuration selection of MIMO bilinear processes is described. In general, most of the results on the control configuration selection, which have been proposed so far, can only support linear systems. The proposed gramian-based interaction measure not only supports bilinear processes but also can be used to propose a richer sparse or block diagonal controller structure.
Nonlinear Dynamics, 2013, Vol 72, Issue 1-2, p. 165-174