caa a22 4500 463169905 CHVBK 20180406164810.0 cr unu---uuuuu 170326e20070301xx s 000 0 eng 10.1007/s10957-007-9183-3 doi (NATIONALLICENCE)springer-10.1007/s10957-007-9183-3 Worst-Case Fault Detection Observer Design: Optimization Approach [Elektronische Daten] [H. Wang, J. Wang, J. Lam] This paper deals with the fault detection problem for linear systems with unknown inputs. The H ∞ norm and H − index are employed to measure the robustness to unknown inputs and the sensitivity to faults, respectively. By using the pole assignment approach, the fault detection problem is transformed to an unconstrained optimization problem. With the aid of a gradient-based optimization approach, an explicit formula for designing the desirable observer gain is derived. Furthermore, the fault sensitivity over a finite frequency range can also be solved by the proposed method. The methodology proposed is verified through numerical simulation studies performed on the fault detection observer design of a vertical takeoff and landing aircraft. Springer Science+Business Media, LLC, 2007 Fault detection nationallicence Observers nationallicence Optimization nationallicence Eigenvalue assignments nationallicence Wang H. Department of Control Engineering, School of Information Science and Engineering, Central South University, Changsha, People's Republic of China aut Wang J. School of Electrical & Electronic Engineering, Nanyang Technological University, 678949, Singapore, Singapore aut Lam J. Department of Mechanical Engineering, University of Hong Kong, Pokfulam Road, Hong Kong, Hong Kong aut Journal of Optimization Theory and Applications Kluwer Academic Publishers-Plenum Publishers; http://www.springer-ny.com 132/3(2007-03-01), 475-491 0022-3239 132:3<475 2007 132 10957 https://doi.org/10.1007/s10957-007-9183-3 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10957-007-9183-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Wang H. Department of Control Engineering, School of Information Science and Engineering, Central South University, Changsha, People's Republic of China aut NATIONALLICENCE 700 1- Wang J. School of Electrical & Electronic Engineering, Nanyang Technological University, 678949, Singapore, Singapore aut NATIONALLICENCE 700 1- Lam J. Department of Mechanical Engineering, University of Hong Kong, Pokfulam Road, Hong Kong, Hong Kong aut NATIONALLICENCE 773 0- Journal of Optimization Theory and Applications Kluwer Academic Publishers-Plenum Publishers; http://www.springer-ny.com 132/3(2007-03-01), 475-491 0022-3239 132:3<475 2007 132 10957 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer