Disturbance observers and extended state observers for marine vehicles: A survey

N Gu, D Wang, Z Peng, J Wang, QL Han - Control Engineering Practice, 2022 - Elsevier
The operation performance of marine vehicles (MVs) is significantly vulnerable to external
disturbances induced by wind, waves, and ocean currents in complex marine environments …

Challenges of adaptive control–past, permanent and future

BDO Anderson, A Dehghani - Annual reviews in control, 2008 - Elsevier
This paper reviews three different types of challenges to adaptive control. The first group
comprises challenges met in the subject's development. They include difficulties associated …

[KNIHA][B] Switching in systems and control

D Liberzon - 2003 - Springer
l\lany systems encountered in practice involve a coupling between contin uous dynamics
and discrete events. Systems in which these two kinds of dynamics coexist and interact are …

[KNIHA][B] Adaptive control tutorial

P Ioannou, B Fidan - 2006 - SIAM
Adaptive control evolved over the years to become an accepted subject taught in many
schools as an advanced control course. A good understanding of adaptive control involves a …

Electricity demand loads modeling using AutoRegressive Moving Average (ARMA) models

SS Pappas, L Ekonomou, DC Karamousantas… - Energy, 2008 - Elsevier
This study addresses the problem of modeling the electricity demand loads in Greece. The
provided actual load data is deseasonilized and an AutoRegressive Moving Average …

Overcoming the limitations of adaptive control by means of logic-based switching

JP Hespanha, D Liberzon, AS Morse - Systems & control letters, 2003 - Elsevier
In this paper we describe a framework for deterministic adaptive control which involves logic-
based switching among a family of candidate controllers. We compare it with more …

Issues, progress and new results in robust adaptive control

S Fekri, M Athans, A Pascoal - International journal of adaptive …, 2006 - Wiley Online Library
We overview recent progress in the field of robust adaptive control with special emphasis on
methodologies that use multiple‐model architectures. We argue that the selection of the …

Electricity demand load forecasting of the Hellenic power system using an ARMA model

SS Pappas, L Ekonomou, P Karampelas… - Electric Power Systems …, 2010 - Elsevier
Effective modeling and forecasting requires the efficient use of the information contained in
the available data so that essential data properties can be extracted and projected into the …

Multiple model adaptive control. Part 2: switching

J Hespanha, D Liberzon… - … Journal of Robust …, 2001 - Wiley Online Library
This paper addresses the problem of controlling a continuous‐time linear system with large
modelling errors. We employ an adaptive control algorithm consisting of a family of linear …

A data-driven realization of the control-performance-oriented process monitoring system

H Luo, S Yin, T Liu, AQ Khan - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
The stability margin is an important attribute for the robustness analysis of the closed loop in
a control system design, which indicates the tolerant-ability of the closed-loop stability to …