Computer-controlled systems (3rd ed.)
Computer-controlled systems (3rd ed.)
Real-Time Systems: Design Principles for Distributed Embedded Applications
Real-Time Systems: Design Principles for Distributed Embedded Applications
Optimal Sampled-Data Control Systems
Optimal Sampled-Data Control Systems
L2-Gain and Passivity in Nonlinear Control
L2-Gain and Passivity in Nonlinear Control
A Protocol for Loosely Time-Triggered Architectures
EMSOFT '02 Proceedings of the Second International Conference on Embedded Software
Giotto: a Time-triggered Language for Embedded Programming
Giotto: a Time-triggered Language for Embedded Programming
Stability analysis of systems with uncertain time-varying delays
Automatica (Journal of IFAC)
Brief paper: Sampled-data H∞ control and filtering: Nonuniform uncertain sampling
Automatica (Journal of IFAC)
Technical communique: Stability and stabilization of nonuniform sampling systems
Automatica (Journal of IFAC)
Brief paper: Stability analysis of systems with aperiodic sample-and-hold devices
Automatica (Journal of IFAC)
Brief paper: A refined input delay approach to sampled-data control
Automatica (Journal of IFAC)
Automata based interfaces for control and scheduling
HSCC'07 Proceedings of the 10th international conference on Hybrid systems: computation and control
Technical Communique: Robust sampled-data stabilization of linear systems: an input delay approach
Automatica (Journal of IFAC)
Simple stability criteria for systems with time-varying delays
Automatica (Journal of IFAC)
Resource constrained LQR control under fast sampling
Proceedings of the 14th international conference on Hybrid systems: computation and control
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Despite recent advances in the field of Networked Control Systems (NCS), the gap between the control design stage and the implementation stage on a physical platform remains significant. The simplifying assumptions made in the analysis of NCS are often not precise enough for realistic embedded control systems, and engineers must resort to time-consuming simulations and multiple redesign and testing phases before the performance of a system is judged adequate. Moreover, simulation-based methods do not typically provide rigorous performance or stability guarantees. We approach the problem of certifying a digital controller implementation from an input-output, robust control perspective. Following a standard method for analyzing sampled-data systems, we view the implementation step as a perturbation of a nominal linear time-invariant model. Nonlinearities and disturbances due to implementation effects are treated as uncertainty blocks and characterized via Integral Quadratic Constraints (IQCs), such as gain bounds. From our modeling discussion emerge some important types of uncertainties. We discuss some new gain bounds for one of them, namely an aperiodic sample-and-hold operator with uncertain sampling times. Two important features of the robust control approach are i) this approach is modular, i.e., the analysis of different uncertainty blocks can be done and refined separately, and the results combined in the study of a complete complex system; ii) the guarantees on the stability and performance of the implemented system can be obtained automatically via efficient computational tools.