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Sven Reimann

Researcher at Kaiserslautern University of Technology

Publications -  15
Citations -  275

Sven Reimann is an academic researcher from Kaiserslautern University of Technology. The author has contributed to research in topics: Control system & Scheduling (computing). The author has an hindex of 6, co-authored 13 publications receiving 229 citations.

Papers
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Journal ArticleDOI

Suboptimal Event-Triggered Control for Time-Delayed Linear Systems

TL;DR: This technical note considers event-triggering conditions and controller synthesis approaches for delayed linear systems and compares with other approaches in the literature to demonstrate the advantages with respect to the two performance indices.
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Event-triggered control for discrete-time linear systems subject to bounded disturbance

TL;DR: In this paper, the authors considered event-triggering controller design for directly observable discrete-time linear systems subject to bounded disturbances, where the main control objective is diminishing the influence aroused by the disturbances despite a reduction of the communication.
Journal ArticleDOI

Event-Triggered Control for Linear Systems Subject to Actuator Saturation

TL;DR: In this paper, the authors considered event-triggered control subject to actuator saturation for linear systems and presented a method to estimate the domain of attraction which represents a contractive invariant set.
Proceedings ArticleDOI

Event-based control and scheduling codesign of networked embedded control systems

TL;DR: This paper presents a novel event-based codesign concept for NECSs which involves a joint design of a control law, a scheduler, and an event generator for an efficient usage of the limited resources.
Proceedings ArticleDOI

A novel control-schedule codesign method for embedded control systems

TL;DR: A method is introduced to design jointly schedule and control, which guarantees stability of all plants controlled by the processor based on quadratic Lyapunov function, which is formulated as a constrained optimization problem.