• No results found

Self-tuning adaptive control systems

Self tuning techniques on PLC background and control systems with self tuning methods desing

Self tuning techniques on PLC background and control systems with self tuning methods desing

... EXACT method (Expert Adaptive Controller Tuning) is an out of date method developed and implemented in older versions of Foxboro PLCs. A principle of this method is the monitoring of changes of the set ...

8

Embedded Adaptive Self Tuning Control Development by a Free Toolchain

Embedded Adaptive Self Tuning Control Development by a Free Toolchain

... dedicated control laws the system has to be described in mathematical terms, ...Most systems allow the export of equations in a Matlab or C like syntax that can be included into XCos without ...

6

The application of self tuning control to rolling mill systems

The application of self tuning control to rolling mill systems

... Gauge Control (AGC) systems applied to rolling ...Digital Control) system, the foundations existed on which to develop a more sophisticated ...f adaptive control would hopefully tackle ...

93

Self Tuning Control Techniques for Wind Turbine and Hydroelectric Plant Systems

Self Tuning Control Techniques for Wind Turbine and Hydroelectric Plant Systems

... considered control techniques to the hydroelectric plant simulator are summarised in the second row of Table ...to control techniques implemented and applied to different ...

35

Self-tuning of software systems through goal-based feedback control loop

Self-tuning of software systems through goal-based feedback control loop

... requirements-driven self-tuning can be used not only for traditional software ...software systems can also benefit from it. Quality-driven self-adaptive methods have been widely used ...

22

Self Tuning Control of a Nonlinear Stochastic Systems Described by a Hammerstein Mathematical Model

Self Tuning Control of a Nonlinear Stochastic Systems Described by a Hammerstein Mathematical Model

... The formulation of this parametric estimation problem is made by using the prediction error method which is based on the minimization of a quadratic criterion, based on the difference between the output system and that ...

8

Adaptive TSK-type self-evolving neural control for unknown nonlinear systems

Adaptive TSK-type self-evolving neural control for unknown nonlinear systems

... controlled systems are difficult to develop accurately due to the lack of knowledge of some parameters or the presence of disturbances in the ...intelligent control approaches such as neural mechanism are ...

6

Adaptive TSK-type self-evolving neural control for unknown nonlinear systems

Adaptive TSK-type self-evolving neural control for unknown nonlinear systems

... controlled systems are difficult to develop accurately due to the lack of knowledge of some parameters or the presence of disturbances in the ...intelligent control approaches such as neural mechanism are ...

6

Optimization of a Temperature Control Loop using Self Tuning Regulator

Optimization of a Temperature Control Loop using Self Tuning Regulator

... a control mechanism that will improve the response affected by some ...of adaptive control ...the control structure are Conventional PID, and MRAC ...of systems with PID is to find the ...

7

Optimization of a Temperature Control Loop using Self Tuning Regulator

Optimization of a Temperature Control Loop using Self Tuning Regulator

... a control mechanism that will improve the response affected by some ...of adaptive control ...the control structure are Conventional PID, and MRAC ...of systems with PID is to find the ...

7

Self Tuning Control for MIMO Network Systems

Self Tuning Control for MIMO Network Systems

... the control parameters of the SPID and SPI controllers can be determined to ensure the stability of the control loop in terms of buffer occupancy and adjust ...

7

Some studies in optimum and self adaptive control systems

Some studies in optimum and self adaptive control systems

... Tbe first component of y yields, after multiplication by r(t) and integration over time T, an estioate of the gradient at the present workin~ POint. 'l'hia is the desired signal determin[r] ...

262

Self-Adaptive Model-Based Control for VAV Systems

Self-Adaptive Model-Based Control for VAV Systems

... VAV systems the main characteristics that are used for creating a model are derived from heat transfer and fluid ...accurately. Systems with a large number of parameters become cumbersome and take more time ...

96

Self–Tuning Control Techniques for Wind Turbine and Hydroelectric Plant Systems

Self–Tuning Control Techniques for Wind Turbine and Hydroelectric Plant Systems

... aim, selftuning control techniques represent viable strategies that can be employed for this purpose, due to the features of these nonlinear dynamic processes working over a wide range of operating ...

30

Brushless DC motor tracking control using self-tuning fuzzy PID control and model reference adaptive control

Brushless DC motor tracking control using self-tuning fuzzy PID control and model reference adaptive control

... Conventional control methods cannot achieve the desired speed tracking with good accuracy in case of sudden disturbance and parameter ...advanced control tech- niques such as adaptive control, ...

12

Design of Adaptive Sliding Mode Control with Fuzzy Controller and PID Tuning for Uncertain Systems

Design of Adaptive Sliding Mode Control with Fuzzy Controller and PID Tuning for Uncertain Systems

... The goal is to achieve system robustness against parameter variations and external disturbances. A Fuzzy logic controller using simple approach & smaller rule set is proposed. Suitable PID control gain parameters ...

5

Tuning and Control of Multi Variable Systems

Tuning and Control of Multi Variable Systems

... These systems are known as non-square systems. Such a systems may have either more outputs than inputs or more inputs than ...non-square systems with more inputs than outputs, are mixing tank ...

12

Adaptive Simplified Model Predictive Control with Tuning Considerations

Adaptive Simplified Model Predictive Control with Tuning Considerations

... real systems. In this paper, the direct adaptive Simplified Model Predictive Control (SMPC) is proposed for unknown or time varying plants with ...analytical tuning method for adjusting ...

7

Fuzzy Adaptive Tuning of Router Buffers for Congestion Control

Fuzzy Adaptive Tuning of Router Buffers for Congestion Control

... Tail, Adaptive Drop Tail-Fuzzy Logic (ADT-FL) is proposed which regulates the queue size of the router buffers based on prevailing traffic conditions and available link bandwidth preventing the router buffers from ...

10

Testing Self-Adaptive Systems

Testing Self-Adaptive Systems

... of the SASuT at the same point in time, which allows for exchanging information between the simulator and the real test object and, thus, ITL testing. The simulation process is interactive because the user may take ...

158

Show all 10000 documents...

Related subjects