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SUMMARY:Pre CDC talk - Richard Pates\, David Hayden and Panos Brezas from 
 Control Group\, Engineering Department
DTSTART:20121207T140000Z
DTEND:20121207T153000Z
UID:TALK41998@talks.cam.ac.uk
CONTACT:Dr Jason Z JIANG
DESCRIPTION:1. Stability Certificates for Networks of Heterogeneous Linear
  Systems by Richard Pates\n\nAbstract: We derive robust\, decentralized an
 d scalable stability conditions for networks of heterogeneous linear syste
 ms. The results are based on a graphical Nyquist type test which depends o
 nly on the frequency responses of an individual system and its nearest nei
 ghbours. If every system in the network satisfies such a condition\, the n
 etwork is guaranteed to be stable. The results are suitable for a broad cl
 ass of networks\, allowing arbitrary interconnection asymmetries and heter
 ogeneous multi-input-multi-output systems.\n\n\n2. Robust Network Reconst
 ruction in Polynomial Time by David Hayden\n\nAbstract: We present an effi
 cient algorithm for robust network reconstruction of linear time-invariant
  systems in the presence of noise\, estimation errors and unmodelled nonli
 nearities. The method here builds on previous work on robust reconstructio
 n to provide a practical implementation with polynomial computational comp
 lexity. The algorithm greedily obtains a set of structurally-related candi
 date solutions spanning every level of sparsity. One of these structures i
 s guaranteed to be the correct solution if a magnitude bound on the noise 
 is satisfied. Model selection tools may then be used to select a single so
 lution from this set. Extensive simulations quantify the expected performa
 nce for different levels of noise and show that significantly more noise c
 an be tolerated in comparison to the original method.\n\n3. LQ optimal and
  risk-sensitive control for vehicle suspensions by Panos Brezas\n\nAbstrac
 t: The talk is concerned with time-domain optimal control of active suspen
 sions. The optimal control problem formulation has been generalised by inc
 orporating both road disturbances (ride quality) and a representation of d
 river inputs (handling quality) into the optimal control formulation. A re
 gular optimal control problem as well as a risk-sensitive exponential opti
 mal control performance index is considered. Emphasis has been given to pr
 actical considerations including the issue of state estimation in the pres
 ence of load disturbances (driver inputs).
LOCATION:Cambridge University Engineering Department\, LR6
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