Integral control by variable sampling based on steady-state data

DOI10.1016/S0005-1098(02)00182-6zbMath1016.93044WikidataQ57942486 ScholiaQ57942486MaRDI QIDQ1858386

Necati Özdemir, Stuart Townley

Publication date: 13 February 2003

Published in: Automatica (Search for Journal in Brave)

zbMATH Keywords

robustnessdiffusion equationsampled-data systemsintegral controladaptive samplinginfinite-dimensional control systemsstep response datasteady-state gain matrix

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Control/observation systems governed by partial differential equations (93C20) Adaptive control/observation systems (93C40) Sampled-data control/observation systems (93C57) Control/observation systems in abstract spaces (93C25)

Related Items (11)

Stochastic sampled-data control for synchronization of complex dynamical networks with control packet loss and additive time-varying delays ⋮ \(H_{\infty }\) filtering with stochastic sampling ⋮ Stochastic sampled-data control for state estimation of time-varying delayed neural networks ⋮ Indirect sampled-data control with sampling period adaptation ⋮ A unified approach to high-gain adaptive controllers ⋮ A class of impulsive pulse-width sampler systems and its steady-state control in infinite dimensional spaces ⋮ Robust sampled-data \(H_\infty \) control with stochastic sampling ⋮ Distributed node-to-node consensus of multi-agent systems with stochastic sampling ⋮ Stochastic sampled data robust stabilisation of T-S fuzzy neutral systems with randomly occurring uncertainties and time-varying delays ⋮ Robust sampled-data control with random missing data scenario ⋮ Robust synchronisation of chaotic systems with randomly occurring uncertainties via stochastic sampled-data control

Cites Work

• Stability radius for structured perturbations and the algebraic Riccati equation
• Discrete-time low-gain control of uncertain infinite-dimensional systems
• Low-Gain Control of Uncertain Regular Linear Systems
• Robust stability of systems with integral control
• Integral Control of Infinite-Dimensional Linear Systems Subject to Input Saturation
• Adaptive Low-Gain Integral Control of Multivariable Well-Posed Linear Systems
• Integral control of linear systems with actuator nonlinearities: lower bounds for the maximal regulating gain
• Adaptive sampling control of high-gain stabilizable systems
• Adaptive stabilization using a variable sampling rate
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