In this paper we investigate optimal pid control of a double integrating plus delay process and compare with the simc rules. What makes the double integrating process special is that derivative action is actually necessary for stabilization. In control, there is generally a trade-off between performance and robustness, so there does not exist a single optimal controller. However, for a given ro...

A new class of controlled time-varying complex dynamical networks with similarity is investigated and a decentralized holographic-structure controller is designed to stabilize the network asymptotically at its equilibrium states. The control design is based on the similarity assumption for isolated node dynamics and the topological structure of the overall network. Network synchronization probl...

The main objective of subgroup discovery is to discover interesting and interpretable patterns with respect to a specific property. The use of evolutionary fuzzy systems provides good algorithms to approach this problem. In this sense, NMEEF-SD algorithm –one of the most representative evolutionary fuzzy systems for subgroup discovery– obtains precise and interpretable subgroups. However in the...

Based on parameter self-tuning fuzzy PID controller, a fuzzy inference method is utilized to realize automatic regulating PID parameter, and the application of the controller in a system is studied with MATLAB in this paper. The combination of PID controller system and fuzzy controller system combines the convenience of PID control together with the flexibility of fuzzy control, and takes advan...

Activated sludge wastewater treatment processes are difficult to be controlled because of their complex and nonlinear behavior, however, he control of the dissolved oxygen level in the reactors plays an important role in the operation of the facility. For this reason a new pproach is studied in this paper using simulated case-study approach: model predictive control (MPC) has been applied to co...

Suspension system plays an imperative role in retaining the continuous road wheel contact for better road holding. In this paper, fuzzy self-tuning of PID controller is designed to control of active suspension system for quarter car model. A fuzzy self-tuning is used to develop the optimal control gain for PID controller (proportional, integral, and derivative gains) to minimize suspension work...

We investigate performance improvements through TCP window size optimisation achievable when TCP Reno is used over a highly heterogeneous network, such as an 802.11b Wireless LAN or a GPRS-based internet connection. Initially, our modelling focuses on a constant rate, buffered access link, based on a loss-less wireless channel and with a bandwidth at least one order of magnitude less than its f...

This paper presents a constrained Model Predictive Control (MPC) strategy enriched with soft-control techniques as neural networks and fuzzy logic, to incorporate self-tuning capabilities and reliability aspects for the management of drinking water networks (DWNs). The control system architecture consists in a multilayer controller with three hierarchical layers: learning and planning layer, su...

In this paper, we present an efficient rapid system design framework for fuzzy systems. Considering hardware and software capability, the given system specification is broken into two components: conceptual and parameter specifications. The conceptual specification contains the system core, which is unchanged throughout the simulation phase and can be implemented in hardware at an early stage. ...

In this document we present an overview of Transactional Memory models, as well as a comparison to traditional parallel frameworks. In this context, we follow with an analysis on the problem of self-tuning concurrency control in transactional memory, where different mechanisms are used to predict and adjust an application’s concurrency level with respect to available parallelism. We are particu...