because of electricity subsidies, electricity price in iran is much lower than its real value, and the growth of electricity demand is much more than its rational rate, which in turn implies ever increasing investment in the electricity section by the government. therefore, the recent government policies are based on elimination of electricity subsidies, followed by commissioning complete elect...

An online adaptive reinforcement learning-based solution is developed for the infinite-horizon optimal control problem for continuous-time uncertain nonlinear systems. A novel actor–critic–identifier (ACI) is proposed to approximate the Hamilton–Jacobi–Bellman equation using three neural network (NN) structures—actor and critic NNs approximate the optimal control and the optimal value function,...

This work addresses the visual tracking problem of robot manipulators with non-negligible dynamics using a fixed camera, when the camera-robot system parameters are uncertain. An adaptive strategy is developed for visual servoing systems based on the image-based look-and-move structure to allow the tracking of a 2D reference trajectory, without using image velocity measurements. The adaptive vi...

This paper investigates analytic robust stability criteria for large-scale cyclic gene–protein regulatory network systems consisting of genes with heterogeneous dynamics combined with parametric or unstructured uncertainties from a control-theoretic viewpoint. We first consider a class of gene expressions, which is described as an uncertain linear transcription–translation model (LTTM) with fee...

The direct adaptive control of planar robot manipulators through visual servoing is considered. A solution is developed for image-based visual systems to allow tracking of a desired trajectory, when both camera calibration and robot dynamics are uncertain. In order to solve the MIMO parameter adaptive problem without using image velocity information, the adaptive camera calibration is formulate...

One of the ultimate targets of lean manufacturing paradigm is to balance production and produce at takt time in production cells. This paper investigates the performance of a lean cell that implements the previous lean goals under uncertainty. The investigation is based on a system dynamics approach to model a dynamic lean cell. Backlog is used as a performance metric that reflects the cell’s r...

Abstract. This paper considers the problem of global output feedback control for a class of nonlinear systems with inverse dynamics. The main contribution of paper is that: For the inverse dynamics with uncertain ISS/iISS supply rates, and the systems being disturbed by L noises, we construct a reduced-order observer-based output feedback controller, which drives the output of system to zero an...

This paper presents an output feedback adaptive control architecture for continuoustime uncertain dynamical systems based on state observer and derivative-free delayed weight update law. The assumption of constant unknown ideal weights is generalized to the existence of time-varying weights without assuming the existence of their derivatives in a time interval. As a result, this approach is par...

In this paper we focus on the problem of globally asymptotically stabilizing a general class of nonlinear feedforward systems in presence of uncertain parameters a ecting the model of the system and un-modeled actuator dynamics. This work can be seen as a nontrivial extension of the previous result [6]. To solve the problem we assume a controllability condition on the linear approximation of th...

Within the research on simulating societies (Doran and Gilbert 1994; Epstein and Axtell 1996), many recent models propose dynamics of decision mixing a rational preference term and an influence coming from interactions with other agents (for instance :(Arthur and Lane 1993)). The present work is original by the use of interactions on continuous uncertain opinions. This choice has been implied b...