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In this work, implementation issues related to multivariable Generalized Predictive Control (GPC) for processes with multiple time delays are analyzed. Due to specific properties of those processes, the resulting control system has to account for the existing delays between control variables changes and their effect on controlled outputs. In the case of Model Predictive Control (MPC) techniques, such...
This paper presents the application of nonlinear predictive control to the distributed collector field of a solar desalination plant. The main purpose of the controller is to manipulate the water flow rate to maintain an outlet-inlet temperature gradient in the collectors in spite of disturbances and water flow rate constraints. The controller uses a deadtime compensation structure to account for...
Robots controlled by Reinforcement Learning (RL) are still rare. A core challenge to the application of RL to robotic systems is to learn despite the existence of control delay - the delay between measuring a system's state and acting upon it. Control delay is always present in real systems. In this work, we present two novel temporal difference (TD) learning algorithms for problems with control delay...
This paper presents review of easy to use and reliable tuning strategy for SISO Dynamic matrix control (DMC). The tuning strategy achieves set point tracking with minimal overshoot and modest manipulated input move sizes and is applicable to a broad class of open loop stable processes. The simulation of a simple FOPDT model is carried out using advanced control algorithms, specifically these advanced...
A novel kind of combined integrating systems is studied. Combined integrating systems exist in industry extensively but no attention has paid for this kind of systems. New controller named as anti-delay quasi-PI controller is introduced based on time delay compensation. The superiorities of the new control method over traditional control method are simple to design, easy to tuning, fast to step response...
A single-neural identification-free adaptive intelligent controller based on grey prediction is developed for multi-input and multi-output(MIMO) system with time-delay. The basic method is that the MIMO system is decomposed into a set of multi-input-single-output subsystems. The decoupling problem of MIMO system is solved by a set of grey model GMC(1,n), which is used to approximate the MIMO system...
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