Active Braking Control Design for Road Vehicles focuses on two main brake system technologies: hydraulically-activated brakes with on-off dynamics and electromechanical brakes, tailored to brake-by-wire control.
Fatigue has long been recognized as a mechanism that can provoke catastrophic material failure in structural applications and researchers are now turning to the development of prediction tools in order to reduce the cost of determining design criteria for any new material.
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.
Diamond has a unique combination of properties, such as the highest hardness and thermal conductivity among any known material, high electrical resistivity, a large optical band gap and a high transmission, good resistance to chemical erosion, low adhesion and friction, and extremely low thermal expansion coefficient.
Hard machining is a relatively recent technology that can be defined as a machining operation, using tools with geometrically defined cutting edges, of a work piece that has hardness values typically in the 45-70HRc range.
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.
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.
Defects in semiconductors have been studied for many years, in many cases with a view toward controlling their behaviour through various forms of "e;defect engineering"e;.
"e;Electromechanical Properties in Composites Based on Ferroelectrics"e; investigates the problem of prediction and non-monotonicity of the effective electromechanical (piezoelectric, dielectric and elastic) properties in two- and three-component composites based on ferroelectric ceramics and relaxor-ferroelectric single crystals.
Metal Oxide Nanoparticles in Organic Solvents discusses recent advances in the chemistry involved for the controlled synthesis and assembly of metal oxide nanoparticles, the characterizations required by such nanoobjects, and their size and shape depending properties.
Discontinuous Systems develops nonsmooth stability analysis and discontinuous control synthesis based on novel modeling of discontinuous dynamic systems, operating under uncertain conditions.
"e;Mechanics and Control of Soft-fingered Manipulation"e; introduces a new approach to the modeling of fingertips that have a soft pad and a hard back plate, similar to human fingers.
Modern technical advancements in areas such as robotics, multi-body systems, spacecraft, control, and design of complex mechanical devices and mechanisms in industry require the knowledge to solve advanced concepts in dynamics.
Microbiologically-influenced corrosion (MIC) is one of the greatest mysteries of corrosion science and engineering, due to the complexities resulting from the involvement of living things such as bacteria.
Solid Particle Erosion: Occurrence, Prediction and Control collects together the work of more than 130 industrially-supported research projects conducted over 50 years on erosion at the Tallinn Technical University, Estonia (now the Tallinn University of Technology), much of which is previously unpublished in English.
Precision Motion Control focuses on enabling technologies for precision engineering - issues of direct importance to be addressed in the overall system design and realization: precision instrumentation and measurement, geometrical calibration and compensation, and motion control.
Identification of Continuous-time Models from Sampled Data presents an up-to-date view of this active area of research, describing recent methods and software tools and offering new results in areas such as: time and frequency domain optimal statistical approaches to identification; parametric identification for linear, nonlinear and stochastic systems; identification using instrumental variable, subspace and data compression methods; closed-loop and robust identification; and continuous-time modeling from non-uniformly sampled data and for systems with delay.
As modern structures require more critical and complex designs, the need for accurate ways to assess uncertainties in loads, geometry, material properties, manufacturing processes and operational environments has increased.
