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Discrete Time Kuramoto Models with Delay
Motivated by the needs of multiagent systems in the presence of sensing and communication that is delayed, intermittent and asynchronous, we present...
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Self-Tuning Fuzzy Rule Bases with Belief Structure
A fuzzy rule-based evidential reasoning (FURBER) approach has been proposed recently, where a fuzzy rule-base designed on the basis of a belief...
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Sensory Quality Management and Assessment: from Manufacturers to Consumers
This paper presents an intelligent technique based method for analyzing and interpreting sensory data provided by multiple panels for the evaluation...
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Hybrid Soft and Hard Computing Based Forex Monitoring Systems
In a universe with a single currency, there would be no foreign exchange market, no foreign exchange rates, and no foreign exchange. Over the past...
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On the Stability and Sensitivity Analysis of Fuzzy Control Systems for Servo-Systems
Control systems must ensure in real-world applications good steady-state and dynamic performance. This is the reason why they need high quality...
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On Quantization and Delay Effects in Nonlinear Control Systems
The purpose of this paper is to demonstrate that a unified study of quantization and delay effects in nonlinear control systems is possible by...
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Data Mining for Maximal Frequent Patterns in Sequence Groups
In this paper, we give a general treatment for mining some kinds of sequences such as customer sequences, document sequences, and DNA sequences....
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Introducing You to Fuzziness
Computational system modelling is full of ambiguous situations, wherein the designer cannot decide, with precision, what should be the outcome of the...
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Personalized Multi-Stage Decision Support in Reverse Logistics Management
Reverse logistics has gained increasing importance as a profitable and sustainable business strategy. As a reverse logistics chain has strong...
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Advanced Simulator Data Mining for Operators’ Performance Assessment
This chapter covers the use of data mining operations associated with power plant simulations for training and other purposes, such as risk...
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Performance Evaluation for Model-Based Networked Control Systems
The performance of a class of Model-Based Networked Control System (MB-NCS) is considered in this paper. A MB-NCS uses an explicit model of the plant...
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Beating the Bounds on Stabilizing Data Rates in Networked Systems
This paper applies simple, classical feedback control and quantization schemes to the problem of bit rate reduction for stabilizing unstable linear...
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Anticipative and Non-anticipative Controller Design for Network Control Systems
We propose a numerical procedure to design a linear output-feedback controller for a remote linear plant in which the loop is closed through a...
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On Communication Requirements for Multi-agent Consensus Seeking
Several consensus protocols have been proposed in the literature and their convergence properties studied via a variety of methods. In all these...
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Calculating Human Like Grasp Shapes: Pinch Grasps
Usually, grasp planning can be split up into two phases: In the first phase one tries to find a set of contacts that allow for stable gras** of an...
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Map** Complex Tasks to Robots: Programming by Demonstration in Real-World Environments
Programming of service robots is an expensive and difficult task especially when manipulator arms are involved. This is one of the drawbacks for...
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Toward Safe Human-Robot Co-Operation in Manufacturing
Intelligent mobile robot assistants are important components for increasing flexibility in future production processes. These robot assistants must...
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5 Safety and Dependability
Robot systems working directly with people naturally place highest demands on system safety, reliability and maintainability in all operational...
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Robot Assistants as Simple and Effective Tools in Manufacturing Environments
A safe and flexible co-operation between robot and operator may be a promising way to achieve better productivity at the manual workplace. Thus,...
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Recursive Agent Modeling with Probabilistic Velocity Obstacles for Mobile Robot Navigation among Humans
An approach to motion planning among moving obstacles is presented, whereby obstacles are modeled as intelligent decision-making agents. The...