Now showing 1 - 4 of 4
ItemNetworked control systems: Emulation-based designTabbara, 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.
ItemModel predictive control for nonlinear sampled-data systemsGruene, 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.
ItemSampled-data control of nonlinear systemsLaila, DS ; Nesic, D ; Astolfi, A ; Loria, A ; LamnabhiLagarrigue, F ; Panteley, E (SPRINGER-VERLAG BERLIN, 2006-01-01)This chapter provides some of the main ideas resulting from recent developments in sampled-data control of nonlinear systems. We have tried to bring the basic parts of the new developments within the comfortable grasp of graduate students. Instead of presenting the more general results that are available in the literature, we opted to present their less general versions that are easier to understand and whose proofs are easier to follow. We note that some of the proofs we present have not appeared in the literature in this simplified form. Hence, we believe that this chapter will serve as an important reference for students and researchers that are willing to learn about this area of research.
ItemSampled-data control of nonlinear systems: An overview of recent resultsNesic, D ; Teel, AR ; RezaMoheimani, SO (SPRINGER-VERLAG, LONDON LTD, 2001-01-01)Some recent results on design of controllers for nonlinear sampled-data systems are surveyed.