Gas turbines play an important role in power generation and aeroengines. An extended survey of methods associated with the control and systems identification in these engines, Dynamic Modelling of Gas Turbines reviews current methods and presents a number of new perspectives.
- Describes a total modelling and identification program for various classes of aeroengine, allowing you to deal with the engine's behaviour over its complete life cycle.
- Shows how the above regime can be applied to a real engine balancing the theory with practical use.
- Follows a...
Gas turbines play an important role in power generation and aeroengines. An extended survey of methods associated with the control and systems iden...
The series Advances in Industrial Control aims to report and encourage of control technology transfer in control engineering. The rapid development technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies ..., new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work...
The series Advances in Industrial Control aims to report and encourage of control technology transfer in control engineering. The rapid development te...
In process modelling, knowledge of the process under consideration is typically partial with significant unknown inputs (disturbances) to the model. Disturbances militate against the desirable trait of model reproducibility. "Grey-box" identification can assist, in these circumstances, by taking advantage of the two sources of information that may be available: any invariant prior knowledge and response data from experiments.
Practical Grey-box Process Identification is a three-stranded response to the following questions which are frequently raised in connection with...
In process modelling, knowledge of the process under consideration is typically partial with significant unknown inputs (disturbances) to the model...
first industrial application of MPC was in 1973. A key motivation was to provide better performance than could be obtained with the widely-used PID controller whilst making it easy to replace the PID controller unit or module with his new algorithm. It was the advent of digital control technology and the use of software control algorithms that made this replacement easier and more acceptable to process engineers. A decade of industrial practice with PFC was reported in the archival literature by Jacques Richalet et al. in 1978 in an important seminal Automatica paper. Around this time, Cutler...
first industrial application of MPC was in 1973. A key motivation was to provide better performance than could be obtained with the widely-used PID co...
Adaptive Internal Model Control is a methodology for the design and analysis of adaptive internal model control schemes with provable guarantees of stability and robustness. Written in a self-contained tutorial fashion, this research monograph successfully brings the latest theoretical advances in the design of robust adaptive systems to the realm of industrial applications. It provides a theoretical basis for analytically justifying some of the reported industrial successes of existing adaptive internal model control schemes, and enables the reader to synthesise adaptive versions of...
Adaptive Internal Model Control is a methodology for the design and analysis of adaptive internal model control schemes with provable guarantee...
Fractional-order Systems and Controls details the use of fractional calculus (calculus of non-integer order) in the description and modeling of systems, and in a range of control design and practical applications. It is largely self-contained, covering the fundamentals of fractional calculus together with some analytical and numerical techniques and providing MATLAB(R) codes for the simulation of fractional-order control (FOC) systems (available by download from www.springer.com/ISBN).
The use of fractional calculus can improve and generalize well-established...
Fractional-order Systems and Controls details the use of fractional calculus (calculus of non-integer order) in the description and modeli...
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. The physical differences of such actuators enjoin the use of different control schemes so as to be able fully to exploit their characteristics. The authors show how these different control approaches are complementary, each having specific peculiarities in terms of either performance or of the structural properties of the closed-loop system. They also consider other problems related...
Active Braking Control Design for Road Vehicles focuses on two main brake system technologies: hydraulically-activated brakes with on-off dynamics and...
Transportation systems in buildings are part of everyday life: whether ferrying people twenty storeys up to the office or moving luggage to the airport check-in, 21st-century man relies on them.
Control of Traffic Systems in Buildings presents the state of the art in the analysis and control of transportation systems in buildings focusing primarily on elevator groups. The theory and design of passenger traffic and cargo transport systems are covered, together with actual operational examples and topics of special current interest such as:
- noisy, on-line...
Transportation systems in buildings are part of everyday life: whether ferrying people twenty storeys up to the office or moving luggage to the air...
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.
After...
Model Predictive Control System Design and Implementation Using MATLAB(r) proposes methods for design and implementation of MPC systems using basis...
