Results 141 to 150 of about 469,478 (201)
Optimizing Robust PID Control of Propofol Anesthesia for Children: Design and Clinical Evaluation. [PDF]
IEEE Trans Biomed Eng, 2019 van Heusden K +7 more
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Fractional-Order PID Control Strategy on Hydraulic-Loading System of Typical Electromechanical Platform. [PDF]
Sensors (Basel), 2018 Wang N, Wang J, Li Z, Tang X, Hou D.
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Advanced Control of Continuous Pharmaceutical Manufacturing Processes: A Case Study on the Application of Artificial Neural Network for Predictive Control of a CDC Line. [PDF]
Comput Chem EngZhao J +5 more
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ISA Transactions, 2007
In this paper, an index for measuring fragility of proportional integral derivative (PID) controllers is proposed. This index relates the losses of robustness of the control loop when controller parameters change, to the nominal robustness of the control loop. Furthermore, it defines when a PID controller is fragile, nonfragile or resilient.
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In this paper, an index for measuring fragility of proportional integral derivative (PID) controllers is proposed. This index relates the losses of robustness of the control loop when controller parameters change, to the nominal robustness of the control loop. Furthermore, it defines when a PID controller is fragile, nonfragile or resilient.
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Spiking Neural PID Controllers
2011A PID controller is a simple and general-purpose way of providing responsive control of dynamic systems with reduced overshoot and oscillation. Spiking neural networks offer some advantages for dynamic systems control, including an ability to adapt, but it is not obvious how to alter such a control network's parameters to shape its response curve.
Webb, Andrew +2 more
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2012
For some industrial processes a small stationary control error or smooth oscillations of the process output around the set-point do not constitute hard design constraints but, however, the reduction of the information exchanged between the agents that take part in the control loop (sensors, controllers, actuators) is one of the tightest requirements ...
J. Sánchez +2 more
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For some industrial processes a small stationary control error or smooth oscillations of the process output around the set-point do not constitute hard design constraints but, however, the reduction of the information exchanged between the agents that take part in the control loop (sensors, controllers, actuators) is one of the tightest requirements ...
J. Sánchez +2 more
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CSTR Control Using IMC-PID, PSO-PID, and Hybrid BBO-FF-PID Controller
2018A hybrid control approach (BBO-FF) based PID is used for optimal control of a non linear system, i.e., CSTR and this hybrid approach is compared with conventional Z-N tuned PID, IMC-PID, and another optimal control method PSO-PID. The aim of this study is to find an optimal controller for nonlinear process control systems and to achieve best desired ...
Neha Khanduja, Bharat Bhushan
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1993
The recent progress of microelectronics enables the creation of intelligent sensors as integrated units including both a sensor and a microcontroller capable of performing many decentralized monitoring and/or control system functions. This paper shows how the robustness of such a device applied for the PID—control can be substantially increased by the ...
Pavel Kovanic, Josef Böhm
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The recent progress of microelectronics enables the creation of intelligent sensors as integrated units including both a sensor and a microcontroller capable of performing many decentralized monitoring and/or control system functions. This paper shows how the robustness of such a device applied for the PID—control can be substantially increased by the ...
Pavel Kovanic, Josef Böhm
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IFAC Proceedings Volumes, 1990
Abstract A class of linguistic controllers is derived using the combination of classical PID (proportional-integra l -derivative) control ideas and fuzzy set theory. Six different types of such controllers are proposed and their basic characteristics investigated and discussed.
D.P. Kwok, P. Tam, C.K. Li, P. Wang
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Abstract A class of linguistic controllers is derived using the combination of classical PID (proportional-integra l -derivative) control ideas and fuzzy set theory. Six different types of such controllers are proposed and their basic characteristics investigated and discussed.
D.P. Kwok, P. Tam, C.K. Li, P. Wang
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IEE Proceedings - Control Theory and Applications, 2001
The design of predictive PID controllers with similar features to the model-based predictive controllers (MPC) is considered. Corresponding to a prediction horizon of size M, a bank of M parallel conventional PID controllers is defined. All the controllers have the same three terms gains, but the ith controller operates on the future error signal at ...
Katebi, M.R., Moradi, M.H.
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The design of predictive PID controllers with similar features to the model-based predictive controllers (MPC) is considered. Corresponding to a prediction horizon of size M, a bank of M parallel conventional PID controllers is defined. All the controllers have the same three terms gains, but the ith controller operates on the future error signal at ...
Katebi, M.R., Moradi, M.H.
openaire +2 more sources