Nicholas Kottenstette

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Thermal control is crucial to real-time systems as excessive processor temperature can cause system failure or unacceptable performance degradation due to hardware throttling. Real-time systems face significant challenges in thermal management as they must avoid processor overheating while still delivering desired real-time performance. Furthermore, many(More)
| System integration is the elephant in the china store of large-scale cyber–physical system (CPS) design. It would be hard to find any other technology that is more undervalued scientifically and at the same time has bigger impact on the presence and future of engineered systems. The unique challenges in CPS integration emerge from the heterogeneity of(More)
This paper provides a passivity based framework to synthesise l 2 -stable digital control networks in which m strictly-output passive controllers can control n−m strictly-output passive plants. The communication between the plants and controllers can tolerate time varying delay and data dropouts. In particular, we introduce a power-junction-network, a(More)
This paper shows how: i) (strongly) positive real; ii) (asymptotically stable) dissipative (strictly-input) passive; and iii) (Lm2 -stable strictly) positive; continuous time system definitions are equivalent for linear time invariant (LTI) systems. In parallel this paper shows how: i) (strictly) positive real; ii) (asymptotically stable) dissipative(More)
Real-life cyber-physical systems, such as automotive vehicles, building automation systems, and groups of unmanned vehicles are monitored and controlled by networked control systems. The overall system dynamics emerges from the interaction among physical dynamics, computational dynamics, and communication networks. Network uncertainties such as time-varying(More)
This paper provides a framework to synthesize lstable networks in which the controller and plant can be subject to delays and data dropouts. This framework can be applied to control systems which use “soft-real-time” cooperative schedulers as well as those which use wired and wireless network feedback. The approach applies to passive plants and controllers(More)
Real-life cyber-physical systems, such as automotive vehicles, building automation systems, and groups of unmanned vehicles are monitored and controlled by networked control systems. The overall system dynamics emerges from the interaction among physical dynamics, computational dynamics, and communication networks. Network uncertainties such as time-varying(More)
Embedded real-time systems face significant challenges in thermal management. While earlier research on feedback thermal control has shown promise in dealing with the uncertainty in thermal characteristics, multicore processors introduce new challenges that cannot be handled by previous solutions designed for single-core processors. Multicore processors(More)
NOTICE: This is an excerpt from my dissertation, in preparation for submitting it for publication. This work contains excerpts from papers in the ACES-MB workshop, and the EMSoft conference. Please send comments and corrections to jporter@isis.vanderbilt.edu. Thanks,-Joe
This paper provides a framework to synthesize l m 2 -stable and L m 2 -stable control networks in which m strictlyoutput passive controllers can control n − m strictly-output passive plants. The communication between the plants and controllers can tolerate time varying delay and data dropouts. In particular, we introduce a power junction which allows even a(More)