Electrical and Electronic Engineering - Research Publications

Permanent URI for this collection

Search Results

Now showing 1 - 2 of 2
  • Item
    Thumbnail Image
    Networked control systems: Emulation-based design
    Tabbara, M ; Nešić, D ; Teel, AR ; Wang, F-Y ; Liu, D (Springer, 2008-12-01)
    A common approach to the implementation of digital systems is through the emulation of idealized continuous-time blocks in order to be able to leverage the rich expanse of results and design tools available in the continuous-time domain. The so-called sampled-data systems are now commonplace in practice and rely upon results that ensure that many properties of the nominal continuous-time system, including notions of stability, are preserved under sampling when certain conditions are verified. In analogy with (fast) sampled-data design, this chapter explores an emulation-based approach to the analysis and design of networked control systems (NCS). To that end, we survey a selection of emulation-type NCS results in the literature and highlight the crucial role that scheduling between disparate components of the control systems plays, above and beyond sampling. We detail several different properties that scheduling protocols need to verify together with appropriate bounds on inter-transmission times such that various notions of input-output stability of the nominal network-free system are preserved when deployed as an NCS.
  • Item
    Thumbnail Image
    Model predictive control for nonlinear sampled-data systems
    Gruene, L ; Nesic, D ; Pannek, J ; Findeisen, R ; Allgower, F ; Biegler, LT (SPRINGER-VERLAG BERLIN, 2007-01-01)
    The topic of this paper is a new model predictive control (MPC) approach for the sampled-data implementation of continuous-time stabilizing feedback laws. The given continuous-time feedback controller is used to generate a reference trajectory which we track numerically using a sampled-data controller via an MPC strategy. Here our goal is to minimize the mismatch between the reference solution and the trajectory under control. We summarize the necessary theoretical results, discuss several aspects of the numerical implemenation and illustrate the algorithm by an example.