On the basis of reviews on related literatures based on complexity science and complex adaptive system of supply chain management research, the development process of supply chain management has been analyzed, and several advantages to apply complex adaptive system in supply chain management research have been put forward. It has broad application prospects to study the coordination development...

In this paper, we describe how traditional systems engineering processes, such as those delineated in the ANSI//EIA 632 standard, are becoming inadequate for today’s complex systems, in which there is a rich set of interconnections and interrelationships between all of the systems in an enterprise. We further suggest that a new discipline (or an extension of the old discipline) is developing in...

Model predictive controller is widely used in industrial plants. Uncertainty is one of the critical issues in real systems. In this paper, the direct adaptive Simplified Model Predictive Control (SMPC) is proposed for unknown or time varying plants with uncertainties. By estimating the plant step response in each sample, the controller is designed and the controller coefficients are directly ca...

This paper is concerned with the consensus tracking problem of high order MIMO nonlinear multi-agent systems. The agents must follow a leader node in presence of unknown dynamics and uncertain external disturbances. The communication network topology of agents is assumed to be a fixed undirected graph. A distributed adaptive control method is proposed to solve the consensus problem utilizing re...

We present a review of complex systems research which focuses on their similarities with self-organizing living systems. We classify the types of complex systems that relate to self-organisation and we discuss the overall requirements for self-organising modeling. As a novelty, the paper proposes a methodology to aid engineers in the design and control of adaptive complex systems. The methodolo...

Two phenomena can produce chattering: switching of input control signal and the large amplitude of this switching (switching gain). To remove the switching of input control signal, dynamic sliding mode control (DSMC) is used. In DSMC switching is removed due to the integrator which is placed before the plant. However, in DSMC the augmented system (system plus the integrator) is one dimension bi...

A new approach for pole placement of nonlinear systems using state feedback and fuzzy system is proposed. We use a new online fuzzy training method to identify and to obtain a fuzzy model for the unknown nonlinear system using only the system input and output. Then, we linearized this identified model at each sampling time to have an approximate linear time varying system. In order to stabilize...

this paper deals with a globally convergent adaptive and sliding mode control of a cart-pole inverted pendulum for trajectory tracking in the presence of a bounded measurement noise and parameter uncertainty. two kinds of controllers have been used for evaluation of tracking error in presence of a bounded noise; as a result, we want to compare that at what time we can see the convergence of tra...

In this paper an adaptive PID controller for Wind Energy Conversion Systems (WECS) has been developed. Theadaptation technique applied to this controller is based on Reinforcement Learning (RL) theory. Nonlinearcharacteristics of wind variations as plant input, wind turbine structure and generator operational behaviordemand for high quality adaptive controller to ensure both robust stability an...