Automotive control has developed over the decades from an auxiliary te- nology to a key element without which the actual performances, emission, safety and consumption targets could not be met.
Dry Clutch Control for Automated Manual Transmission Vehiclesanalyses the control of a part of the powertrain which has a key role in ride comfort during standing-start and gear-shifting manoeuvres.
Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics.
Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management addresses prominent concepts and applications of AI technologies in the management of networked manufacturing enterprises.
Advanced Control and Supervision of Mineral Processing Plants describes the use of dynamic models of mineral processing equipment in the design of control, data reconciliation and soft-sensing schemes; through examples, it illustrates tools integrating simulation and control system design for comminuting circuits and flotation columns.
A recent development in SDC-related problems is the establishment of intelligent SDC models and the intensive use of LMI-based convex optimization methods.
Safe Adaptive Control gives a formal and complete algorithm for assuring the stability of a switched control system when at least one of the available candidate controllers is stabilizing.
Modern computing engines-CPUs, GPUs, and NPUs-require extensive SRAM for cache designs, driven by the increasing demand for higher density, performance, and energy efficiency.
Next-Generation Actuators Leading Breakthroughs is the proceedings of the final symposium of MEXT Grant-in-Aid for Scientific Research on Priority Areas: Next-Generation Actuators Leading Breakthroughs, held in January 2010.
Optimal Linear Controller Design for Periodic Inputs proposes a general design methodology for linear controllers facing periodic inputs which applies to all feedforward control, estimated disturbance feedback control, repetitive control and feedback control.
"e;Programming Mobile Robots with Aria and Player"e; provides a guide to creating object-oriented C++ programs for robots using the Player and Aria APIs within a Linux environment.
"e;Real-time Systems' Quality of Service"e; examines the attainability of efficiency, economy, and ease of use, which make up the quality of service of technologically advanced products.
In the process industries, stiction is the most common performance-limiting valve problem and over the last decade numerous different techniques for overcoming it have been proposed.
Changing world market conditions have forced manufacturers to apply new architectures and technologies for the design and control of manufacturing systems.
In a world suffering from an ageing population and declining birth rate, service robotics and mechatronics have an increasingly vital role to play in maintaining a safe and sustainable environment for everyone.
Intelligent Control with LabVIEW(TM) is a fresh and pragmatic approach to the understanding of a subject often clouded by too much mathematical theory.
"e;Robust Control for Uncertain Networked Control Systems with Random Delays"e; addresses the problem of analysis and design of networked control systems when the communication delays are varying in a random fashion.
"e;Optimal Observation for Cyber-physical Systems"e; addresses the challenge, fundamental to the design of wireless sensor networks (WSNs), presented by the obligatory trade-off between precise estimates and system constraints.
"e;Design Rules for Actuators in Active Mechanical Systems"e; deals with the formulation of model-based design rules to be used in the conception of optimized mechatronic and adaptronic systems.
Recent trends in the fashion market (including an impressive increase in the number of new collections, product assortments and variants, and the emerging mass-customization model) dictate the need for a new approach.
"e;Recent Advances in Intelligent Control Systems"e; gathers contributions from workers around the world and presents them in four categories according to the style of control employed: fuzzy control; neural control; fuzzy neural control; and intelligent control.
Design of Observer-based Compensators facilitates and adds transparency to design in the frequency domain which is not as well-established among control engineers as time domain design.
Converse Lyapunov function theory guarantees the existence of strict Lyapunov functions in many situations, but the functions it provides are often abstract and nonexplicit, and therefore may not lend themselves to engineering applications.
Hopping, climbing and swimming robots, nano-size neural networks, motorless walkers, slime mould and chemical brains - "e;Artificial Life Models in Hardware"e; offers unique designs and prototypes of life-like creatures in conventional hardware and hybrid bio-silicon systems.
Controlling Chaos achieves three goals: the suppression, synchronisation and generation of chaos, each of which is the focus of a separate part of the book.
Anti-personnel Landmine Detection for Humanitarian Demining reports on state-of-the-art technologies developed during a Japanese National Research Project (2002-2007).
Model Predictive Control System Design and Implementation Using MATLAB(R) proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; - a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and - a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters.
