### Szczegóły

#### Tytuł artykułu

Self-tuning run-time reconfigurable PID controller

#### Tytuł czasopisma

#### Rocznik

#### Numer

#### Autorzy publikacji

#### Wydział PAN

#### Abstrakt

#### Wydawca

Committee of Automatic Control and Robotics PAS

#### Data

#### Identyfikator

ISSN 1230-2384

#### Referencje

R. Anthony: (n.d.) <a target="_blank" href='http://www.policyautonomics.net'>http://www.policyautonomics.net</a> ; Anthony R. (2006), A policy-definition language and prototype implementation library for policy-based autonomic systems, null, 265. ; Anthony R. (2010), Context-aware reconfiguration of autonomic managers in real-time control applicaitons, null, 73. ; Anthony R. (2008), Flexible and robust run-time configuration for self-managing systems, null, 491. ; Byrski W. (1993), Observers and their applications in adaptive control systems, Scientific Bulletins of The University of Mining and Metallurgy, 1551, 65. ; Byrski W. (1984), Optimal finite parameter observer. An application To synthesis of stabilizing feedback for a linear system, Control and Cybernetics, 13, 1. ; Byrski W. (2005), Modelling and simulation of state observers in the computer control systems, null. ; Byrski W. (2006), Continuous and discrete integral state observers in online control systems, null. ; Chia-Ju W. (1999), Genetic tuning of PID controllers using a neural network model: A seesaw example, J. Intell. Robotics Syst, 25, 43, doi.org/10.1023/A:1008077610571 ; Corcau J. (2008), An adaptive pid fuzzy controller for synchronous generator. ; Fujinaka T. (2000), Stabilization of double inverted pendulum with self-tuning neuro-PID, IEEE Computer Society. ; Jie G. (2009), Application of parameter self-tuning fuzzy PID controller in guidance loop of unmanned aircraft, IEEE Computer Society. ; Karakasal O. (2005), Implementation of a new self-tuning fuzzy pid controller on PLC, Turkish J. of Electrical Engineering, 13, 2, 277. ; Kuan-Yu C. (2009), A self-tuning fuzzy PID-type controller design for unbalance compensation in an active magnetic bearing, Expert Syst. Appl, 36, 8560, doi.org/10.1016/j.eswa.2008.10.055 ; Lima J. (2000), Neuro-genetic pid autotuning: time invariant case, Math. Comput. Simul, 51, 287, doi.org/10.1016/S0378-4754(99)00124-X ; Lin F. (2000), Self-tuning of PID controllers by adaptive interaction, null, 3676. ; Pelc M. (2009), Policy supervised exact state reconstruction in real-time embedded control systems, null. ; Pelc M. (2010), Context-aware real-time systems with autonomic controllers, null. ; Shiuh-Jer H. (2009), Metal chamber temperature control by using fuzzy pid gain auto-tuning strategy, WSEAS Trans. Sys. Ctrl, 4, 1. ; Ward P. (2008), Embedding dynamic behavior into a self-configuring software system, null, 373. ; Yau-Tarng J. (2008), Design of fuzzy PID controllers using modified triangular membership functions, Inf. Sci, 178, 1325, doi.org/10.1016/j.ins.2007.10.020 ; Yazdizadeh A. (2009), Adaptive neuro-PID controller design with application to nonlinear water level in NEKA power plant, J. of Applied Sciences. ; Zaheer-Uddin M. (2004), Neuro-PID tracking control of a discharge air temperature system, Energy Conversion and Management.

#### DOI

10.2478/v10170-010-0039-y