[PDF] Top 20 The application of self tuning control to rolling mill systems

... The control objective of the AGC system is to ensure minimal variation in out going strip thickness, which is controlled by varying the gap between the work ...of control around the hydraulic capsules, ... See full document

... (MIMO) systems and networking technologies introduced a revolution recently, which promises significant impact in our ...include systems that use multicast to deliver data and multimedia traffic ...Other ... See full document

... aim, self–tuning 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 ... See full document

... aim, self-tuning 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 ... See full document

... power systems to operate close to their stability ...voltage control particularly, with a suitable transient control system the UPFC can satisfactorily mitigate power system ...adaptive ... See full document

... - Self-tuning control can provide desirable behaviour of a process even though the process parameters are unknown or may vary with ...Conventional self-tuning control requires ... See full document

... cold rolling strip. Up to now, many problems in the shape control domain have not been solved satisfactorily, and a review on the research progress in the shape control domain can help to seek new ... See full document

... power systems are inherently dynamical and non-linear while eigenvalue analysis, the transient simulation and FFT analysis for case I have been performed and the results are shown in Figure 4 and Figure ... See full document

... fuzzy systems and neural networks and solving their re- spective problems is to combine them into an integrated ...fuzzy systems and also high-level, humanlike IF-THEN rule thinking and rea- soning of fuzzy ... See full document

... the application of the PID. Previously, manual tuning was used which needed experts and was also prone to ...automatic tuning has gained ...expert systems has been used for automatic ... See full document

... PID control using nonlinear characteristics to modify the traditional linear PID controller have been actively conducted ...the application strategy of ...parameter tuning method using a genetic ... See full document

... dynamic systems described by Hammerstein mathematical models with unknown, time-varying ...the self-tuning control problem of nonlinear stochastic system that can be described by a Hammerstein ... See full document

... [9] V. Kaminskas. Predictor-Based Self Tuning Control with Constraints. Book Chapter in Book Series Springer Optimization and Its Applications, Vol. 4, Model and Algorithms for Global Optimization, ... See full document

... automatic tuning mechanism reported in ...tracking control application as the control objective is to minimize the deviation between the reference and actual ...the tuning mechanism of ... See full document

... (PID) control method (algorithm) has been the most popular control method, which is widely used in control ...of control situations. It is well known that a great many systems have very ... See full document

... robust self-tuning regulator of a class of linear systems, which can be described by the input-output Auto-Regressive Moving Average with exogenous (ARMAX) mathematical model with unknown and ... See full document

... induced motion signals. This is necessary because the thruster devices are not intended and are not rated to suppress wave induced motions greater than 0.3 radians per second. High frequency motions are generally ... See full document

... gauge control (AGC) systems working simultaneously to impact and disturb each other while adjusting their moving ...decoupling control, we modified the parameters and structure of the AGC system in a ... See full document

... In this work, state-dependent modelling from operational data for CPM is carried out through a discrete KF since the SDM can be formulated as truncated Volterra series with state-dependent coefficients. This SDM ... See full document

... the control parameters selection procedure is depend on stability, efficiency, performance ...Fuzzy control there are no systematic procedure of control parameter ...of tuning where under a ... See full document