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Neuroinflammation as a result of non‐neurotropic herpesvirus infection

Immunology &Cell Biology, EarlyView.
Atypical memory B cells (ABCs) might stimulate autoreactive T cells to cause neuroinflammation and CNS myeloid cell activation during MS. Abstract The non‐neurotropic Epstein Barr virus (EBV) has been suggested to initiate the prodromal phase of multiple sclerosis (MS), often years before the first clinical symptoms. This review discusses mechanisms by
Christian Münz
wiley   +1 more source

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PID controllers’ fragility

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.
openaire   +2 more sources

Spiking Neural PID Controllers

2011
A 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, Davies, Sergio, Lester, David   +2 more
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Event-Based PID Control

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, VISIOLI, Antonio, S. Dormido   +2 more
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CSTR Control Using IMC-PID, PSO-PID, and Hybrid BBO-FF-PID Controller

2018
A 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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Robust PID Control

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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Linguistic PID Controllers

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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Predictive PID controllers

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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PID–PD Control

2011
An effective and simple way of designing a two-degree-of-freedom control scheme for an integral process is to employ an inner feedback loop in order mainly to stabilise the system and then an outer feedback loop in order to provide the required performance. Different methods have been proposed in the literature for the design and tuning of this control
Antonio Visioli, Qing-Chang Zhong
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Predictive PID Control

2005
This chapter looks at predictive PID ...
Johnson, M.A., Moradi, M., Katebi, M.R.
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