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A singlevariable controller is developed in the predictive control framework based upon minimization of the LQ criterion with infinite output and control horizons. The infinite version of the predictive cost function results in better stability properties of the controller and still enables to incorporate contraints into the control design. The constrained LQ controller (CLQ) consists of two parts:...
The paper presents a new methodology of the controller design for unstable time delay systems. The proposed method based on polynomial approach and LQ control theory yields a class of CT controllers ensuring setpoint tracking as well as load disturbance attenuation. Both control configurations, a 1DOF one with a feedback controller and a 2DOF one with a feedback and feedforward ones, were considered...
This contribution presents the application of self-tuning continuous — time controller for process control modelled by S — models. The process is identified by the regression (ARX) model using the recursive least squares method (RLSM) with applied directional forgetting. The basic RLSM algorithm has been modified for the δ- model structures. Controller synthesis is designed on the basis of the pole...
The paper is aimed to the design of a generalized class of continuous controllers for time delay systems. The proposed controllers ensure internal stability and simultaneous reference tracking and disturbance rejection. Several approximations for first order system with time delay were used. All of them can be covered by a second order transfer function. Then explicit formulas were derived for SISO...
The contribution is focused on a design of a control algorithm for a nonlinear servo system with disturbance rejection using adaptive control strategy. It is obvious that for a rejection of the measurable disturbance is a suitable control strategy based on polynomial approach. The regression (output error) models are used in the identification part, the parameter estimates of the process and disturbance...
The paper deals with continuous-time nonlinear adaptive control of a continuous stirred tank reactor. The control strategy is based on an application of the controller consisting of a linear and nonlinear part. The static nonlinear part is derived in the way of an inversion and exponential approximation of measured or simulated input-output data. The design of the dynamic linear part is based on approximation...
Image records are of extreme importance in the security technology. Recent color photographic cameras are mostly constructed in a single-chip sensor configuration and the color splitting structure is designed as a planar filter array, therefore some interpolation technique has to be used to compute full-color image. The final image quality is affected by selected interpolation technique. The applied...
The color TV security cameras are mostly based upon a single-sensor configuration with on-chip CFA (color filter array, Bayer configuration). The impact of different spatial sampling rasters in R G B channels causes an additional image distortion. In the field of security technology the identification task is among very frequent and above-mentioned sampling effect can affect it significantly. There...
The paper deals with adaptive control of a tubular chemical reactor. As a part of the control design, preliminary steady-state and dynamic analysis of the process is incorporated. A nonlinear model of the process is approximated by a continuous-time external linear model with parameters estimated using a corresponding delta model. The controller design is based on the polynomial approach. The adaptive...
The majority of processes met in the industrial practice have stochastic characteristics and eventually they embody nonlinear behaviour. Traditional controllers with fixed parameters are often unsuitable for such processes because their parameters change. The changes of process parameters are caused by changes in the manufacturing process, in the nature of the input materials, fuel, machinery use...
The image and video sensing and processing systems are of high importance nowadays. The crucial parameter is image quality as a part of QoS or more recently QoE (Quality of Experience) as a subjective impact (perception). This invited paper deals with various qualitative aspects in imaging systems. The first part is devoted to the modeling of HVS and image quality evaluation. A model for prediction...
This paper describes the application of artificial neural network with radial basis function as a predictor in model predictive control. Radial basis function neural networks are known for their fast training. Thus, this type of artificial neural networks offers promising way how to reduce computational cost during offline predictor training and eventual online adaptation. The features of this type...
The paper presents a new approach to tuning a control loop. It uses a gradual iterative way to adapt settling- time and overshoot of a controlled variable. The algorithm exploits the virtual reference feedback tuning methodology - a direct method for controller design. Results are demonstrated using simulation experiments on a system from a test batch of models suitable for control purposes.
The paper deals with continuous-time adaptive control of a MIMO nonlinear process. A nonlinear model of the process is approximated by a continuous-time external linear model. Its parameters are estimated via an external delta model with the same structure as the CT model. The control system configuration with two feedback controllers is considered. For controllers design, the polynomial approach...
The paper deals with continuous-time adaptive control of a nonlinear process. A nonlinear model of the process is approximated by a continuous-time external linear model. The parameters of the CT external linear model are estimated via parameters of a corresponding delta model. The control system configuration with two feedback controllers is considered. The controller design is based on the polynomial...
This paper deals with the implementation of a self-tuning controller into a PLC (programmable logical controller) library. The polynomial method is used, and the parameters for controller are derived using delta-model together with the pole placement approach. The recursive least-squares method and directional forgetting are used to estimate the parameters of the delta-model. The algorithm was implemented...
The paper deals with the control of multivariable systems with the same number of inputs as the number of outputs using a decentralized approach. The controlled system is divided into single input-single output (SISO) subsystems and adaptive controllers are used to control each subsystem. This paper is focused to the usage of self-tuning controllers (STC) which are a subset of adaptive controllers...
The paper deals with design of controllers for time delay systems. The method is developed for stable, unstable and integrating time delay systems in conjunction with the approximation of the time delay term. The 2DOF control system configuration is considered. To derive of controllers, the polynomial approach and the pole assignment method are applied. The procedure is proposed for two choices of...
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