In this paper, we developed the parametric estimation and the self-tuning control problem of the nonlinear systems which are described by discrete-time nonlinear mathematical models, with unknown, time-varying parameters, and operative in a stochastic environment. The parametric estimation is realized by using the prediction error method and the recursive least squares techniques. The self-tuni...

The handling of various input constraints in the self-tuning generalized predictive control (STGPC) problem of ARIMAX/ARMAX systems is considered. The methods based on the Lagrange multipliers and Lemke’s algorithm are used to solve the constrained optimization problem. A self-tuning controller is implemented in an indirect way, and the considered constraints imposed on the control input signal...

Adaptive influence-coefficient methods have proven successful at controlling unbalance-induced vibration of rotating machinery without requiring a priori knowledge of machine dynamics. If initial influence estimates are inaccurate, however, vibration may become worse temporarily before the estimation converges. An auto-tuning method is presented here that adjusts adaptive “gain” parameters duri...

Identification based PID tuning is studied. The proposed approach consists of the identification of linear or nonlinear process model and model based control design. The identification test can be performed in both open loop and closed-loop. The so-called ASYM method is used to solve the identification problem. The method identifies a low order process model with a quantification of model error...

The calibration of today’s spark ignition (SI) engine control systems is a complex and costintensive procedure. To cope with increasing demands in performance issues on the one hand and lowering costs on the other hand, a design procedure combining an approximate simulation model with a self tuning algorithm has been developed. In this paper a performance indices based self tuning method for SI...

The activity of single neurons in the monkey motor cortex was studied during semi-naturalistic, unstructured arm movements made spontaneously by the monkey and measured with a high resolution three-dimensional tracking system. We asked how much of the total neuronal variance could be explained by various models of neuronal tuning to movement. On average, tuning to the speed of the hand accounte...

Reducing the exhaust emissions of an spark ignition engine by means of engine modifications requires consideration of the effects of these modifications on the variations of crankshaft torque and the engine roughness respectively. Only if the roughness does not exceed a certain level the vehicle do not begin to surge. This paper presents a method for controlling the air-fuel ratio for a lean bu...

One of the most important Fuel cells (FCs) is Proton Exchange Membrane Fuel Cells (PEMFCs). The outputvoltage of this FC depends on current loads. This paper tries to introduce, implement and control the voltage ofPEMFC, during load variations. The output voltage of fuel cell should be constant during load variation. Toachieve this goal, a controller should be designed. Here, the Lead-Lag contr...

Database tuning is a common problem, but it requires much knowledge about the characteristics of the database system and the expected workload. Dynamically changing workload complicates the search for the perfect settings. In this contribution we present several approaches that autonomously examine the operations and adjust different parameters. Even though different tools for this task are ava...

This paper proposes performance tuning methods for a PID controller for a robotic manipulator. The design procedures of an inverse optimal PID control method employed to assure extended disturbance input-to-state stability (ISS) are suggested. The performance tuning methods for an inverse optimal PID control are derived from the performance limitation and the bounds of the state vector. Also, t...