http://www.icgst.com/con06/acse06/index.html
ACSE-06 Scope
The international conference on Automatic Control and System Engineering ACSE-06 publishes research papers on theoretical analysis, experimental studies and innovations concerning automatic control and system engineering. This conference is, therefore, not only a forum where researchers, scientists, engineers and vendors can exchange their knowledge and experience, but also serves as an educational channel for students and any others who would like to learn more about the new trends in this field of study. The ACSE-06 publishes work that addresses the application of methods to real world scenes and seeks to strengthen a deeper understanding in the discipline by encouraging the qualitative and quantitative performance evaluation of the emerging subjects of automatic control and system engineering.
The coverage includes:
Embedded Control Systems.
Adaptive Control Techniques
Object-Oriented Petri Nets
Petri Nets
Model-Based Diagnosis
Lisp Programming
Real-Time Systems
Real-Time and Fault-Tolerant Systems
Alarming and Fault Diagnosis Systems
Fuzzy Control Systems
Neuro Controllers
Neuro-Fuzzy Controllers
Genetic Algorithms
Robust Control
Stability, Controllability and Observations
Multidimensional Systems
Robot and Manipulator Control
Pursuing and Tracking
Linear and Non-Linear Systems
Power System Control
Perceptual Control Systems
Autonomous Traffic and Transport Systems
Modeling and Simulator Building
Modeling, Estimation and Prediction
Automatic Control of Chemical Processes
Automotive Control Systems and Autonomous Vehicles
Thermal System Control
Process Control
Sensors, Actuators and Transducers
Industrial Control Electronics
Biologically inspired Control Techniques
Data Acquisition and Measurement engineering
Studies on Signal and System
Large Scale Control Systems
Intelligent Control Systems
Stochastic Control
Aerospace Control Systems
Defense and Military Systems Control
Digital and Analogue Control
Motion and Navigation Control
Temporal and Spectral System Analysis
Studies on nuclear systems control
Control Analysis of Social and Human Systems
Biomedical control systems
Some of ACSE-06 Special Sessions
Hardware for ANNs and Fuzzy Controllers
Artificial Neural Networks (ANNs) as well as Fuzzy Systems (FS) are omnipresent in almost every intelligent system design. Just to name few, engineering, control, economics and forecasting are some of the scientific fields that enjoy the use of ANN and FS. Unfortunately, the majority of the Neuro and/or Fuzzy applications are complex and so require a large computational effort to yield useful and practical results. Therefore, dedicated hardware for Neuro-Fuzzy computation is becoming a key issue for designers. With the spread of reconfigurable hardware such as FPGAs and FPAAs, digital as well as analog hardware implementations of such computation become cost-effective. The focus of this special session will be on all aspects of Neuro and/or Fuzzy embedded hardware and controllers. Of special interest are contributions that describe new and efficient hardware architectures and high speed implementations of Neuro and/or Fuzzy controllers.
Chaotic Dynamics and Nonlinearity Analysis in Time Series Data
This session provides a forum in which researchers and practitioners present work on working on nonlinear dynamics analysis for predictability of time series data. The session will be of interest to people who are doing active research on nonstandard computation models that involves chaotic dynamics, or nonlinear dynamic analysis and its applications in various fields such as Economics and Medicine, or mining of time series data for predictability.
Safety & Security in System of Systems
Complex Systems and Systems of Systems manifest many emergent properties amongst which safety and security are increasingly valued, demanded and regulated. This session would provide a tutorial on advanced approaches to the assurance of safe and secure performance in large/complex systems and system of systems. The participants will be introduced to advanced systemic frameworks necessary for such endeavors whilst a debate will be held to engage the participants in the process and advances in this evolving but largely underdeveloped discipline.
Control systems based on ANNs & fuzzy Logic
This session focuses on fuzzy or/and neural network control design for various systems. Topics covered in the session include: adaptive PID-Like fuzzy-neural controller applied to the nonlinear model reference control system, adaptive bound reduced-form genetic algorithm (ABRGA) to train B-spline membership function (BMF) fuzzy-neural sliding mode controller for guaranteeing robust stability and tracking performance for robot manipulators with uncertainties and external disturbances; an adaptive fuzzy sliding mode control for uncertain time-delay systems with sector nonlinearities; a complementary variable structure speed control scheme using fuzzy logic for a switched reluctance motor to improve the tracking performance of the system, irrespective of the highly nonlinear characteristic of the electromagnetic torque; and a vision-based automatic guided vehicle hybrid control system that incorporates fuzzy adaptive mechanism with dynamic motion model for improving the efficiency and precision of vehicle guidance trajectory. Also, the session covers: a hybrid neural network control which combines neural network (NN) and cerebellar model articulation controller (CMAC) methodology; a modified Genetic Algorithm (MGA) to construct a fuzzy neural network (FNN) spontaneously; a practical application report on the neural-fuzzy controller design to accomplish a four-link robot standing up vertically and stably from a flat horizontal surface; a recurrent-neural-network based predictive control for a class of nonlinear discrete time systems; and an identification method for discrete-time nonlinear systems using a Hopfield neural network (HNN) to obtain optimized coefficients over a set of Gaussian basis functions.
Human-Robot Interaction
Human-Robot Interaction is a rapidly developing field which presents novel challenges for researchers in robotics, autonomous systems, and computational intelligence. Due to the embodied nature of interaction involving humans and robots, it is not possible to merely transfer the methods of human-computer interaction design to robotics. Robots, that might act as servants or companions to humans in a home environment, need to be carefully designed to be beneficial and pleasant to interact with beyond the phase of initial novelty effects. The design of appropriate social interaction behaviors and methodologies for robots that interact with humans requires interdisciplinary work with psychology, as well as new methodologies for evaluation the evaluation of human-robot interaction. Social spaces, gestures, legibility of behavior, appearance and intentionality, represent key challenges. Robots in the home will not be accepted if they are annoying, irritating, or too social inept to be useful. Human-robot interaction design should not be technology-driven, but needs to respect human wholeness, human living spaces and activities, individual preferences. Adaptation of behavior of the robots to humans and learning from them in social interaction are also key challenges.
Multi-robot systems
In the past decade robotics research has made many advances in control methodologies, sensory processing, and planning strategies. Robots are now increasingly expected to function in uncertain, dynamic real world environments, and to closely interact with untrained humans. Handling such environment poses many challenging problems. Control methodologies of multi-robot systems have also advanced considerably. Such systems can often deal with tasks that are difficult if not impossible for a single robot. This relatively new field offers many interesting research issues.
Biologically inspired instrumentation, sensors and measuring techniques
This special session will focus on all the aspects of the biologically inspired technologies for instrumentation and measurement applications. Original papers are solicited in, but are not limited to the following technical areas: models of the biological sensing and perception mechanisms, random-pulse/random-data instrumentation and artificial NN architectures, biologically inspired sensors (visual, haptic, audio, smell, etc.), distributed sensor agent networks, adaptability, configurability, emergence, self organization, self optimization etc.
Medical systems
Measurement problems in medical applications are continuously increasing and several examples exist that process measurement data from several instruments in order to derive specific knowledge about the patient status from the vital parameters. This special session will focus on all the aspects related to sensors and measurements in the medical field. Main session topics, but not limited to, include: Sensors for medical systems and medical specific instrumentation; Embedded systems and signal processing; Sensor fusion and calibration; Standards and medical applications; Digital imaging and communication in medicine issues.
Multi-sensor and model based sensory systems
In order to improve the quality, availability and reliability of measurements several approaches can be pursued, which make use of multi sensor systems or model based sensor systems. Multi sensor systems exploit redundancy and diversity of sensor signals by using data fusion techniques. Model based sensor systems use a set of operating points of the sensor element for a better calculation of measurement values, correction of effects, self-test, self-validation, etc. This special session deals with all aspects related to the design, development, evaluation, and testing of multi sensor and model based sensor systems, such as: Multi sensor systems, Multi signal processing, data fusion, pattern recognition, Video measurement technology, Model-based sensor systems, Signal processing for smart sensor systems, Modeling of sensor signals, Model-based self-diagnosis and self-validation techniques.
Wireless sensor networks
The purpose of this special session is to present and discuss the latest analytic, systems, and deployment challenges in wireless sensor networks. Such networks, featuring myriads of tiny devices equipped with sensing, local actuation, communication, and processing, offer significant new problems in the design of real-time communication protocols, middleware services, and programming abstractions for massively distributed wireless computing. They bring about a need for new models of c