Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
19,830
result(s) for
"Digital control systems"
Sort by:
True digital control : statistical modelling and non-minimal state space design
True Digital Control: Statistical Modelling and Non–Minimal State Space Designdevelops a true digital control design philosophy that encompasses data–based model identification, through to control algorithm design, robustness evaluation and implementation. With a heritage from both classical and modern control system synthesis, this book is supported by detailed practical examples based on the authors' research into environmental, mechatronic and robotic systems. Treatment of both statistical modelling and control design under one cover is unusual and highlights the important connections between these disciplines.
Starting from the ubiquitous proportional–integral controller, and with essential concepts such as pole assignment introduced using straightforward algebra and block diagrams, this book addresses the needs of those students, researchers and engineers, who would like to advance their knowledge of control theory and practice into the state space domain; and academics who are interested to learn more about non–minimal state variable feedback control systems. Such non–minimal state feedback is utilised as a unifying framework for generalised digital control system design. This approach provides a gentle learning curve, from which potentially difficult topics, such as optimal, stochastic and multivariable control, can be introduced and assimilated in an interesting and straightforward manner.
Key features:
* Covers both system identification and control system design in a unified manner
* Includes practical design case studies and simulation examples
* Considers recent research into time–variable and state–dependent parameter modelling and control, essential elements of adaptive and nonlinear control system design, and the delta–operator (the discrete–time equivalent of the differential operator) systems
* Accompanied by a website hosting MATLAB examples
True Digital Control: Statistical Modelling and Non–Minimal State Space Design is a comprehensive and practical guide for students and professionals who wish to further their knowledge in the areas of modern control and system identification.
eBook
Applied Control Theory for Embedded Systems
Many embedded engineers and programmers who need to implement basic process or motion control as part of a product design do not have formal training or experience in control system theory. Although some projects require advanced and very sophisticated control systems expertise, the majority of embedded control problems can be solved without resorting to heavy math and complicated control theory. However, existing texts on the subject are highly mathematical and theoretical and do not offer practical examples for embedded designers. This book is different; it presents mathematical background with sufficient rigor for an engineering text, but it concentrates on providing practical application examples that can be used to design working systems, without needing to fully understand the math and high-level theory operating behind the scenes. The author, an engineer with many years of experience in the application of control system theory to embedded designs, offers a concise presentation of the basics of control theory as it pertains to an embedded environment.
eBook
Automata and computability : programmer's perspective
\"This class-tested textbook provides a comprehensive and accessible introduction to the theory of automata and computation. The author uses illustrations, engaging examples, and historical remarks to make the material interesting and relevant for students. It incorporates modern/handy ideas, such as derivative-based parsing and a Lambda reducer showing the universality of Lambda calculus. The book also shows how to sculpt automata by making the regular language conversion pipeline available through a simple command interface. A Jupyter notebook will accompany the book to feature code, YouTube videos, and other supplements to assist instructors and students\"-- Provided by publisher.
Book
Digital power electronics and applications
The purpose of this book is to describe the theory of Digital Power Electronics and its applications.The authors apply digital control theory to power electronics in a manner thoroughly different from the traditional, analog control scheme.
eBook
Reinforcement Learning and Dynamic Programming Using Function Approximators
While Dynamic Programming (DP) has helped solve control problems involving dynamic systems, its value was limited by algorithms that lacked practical scale-up capacity. In recent years, developments in Reinforcement Learning (RL), DP's model-free counterpart, has changed this. Focusing on continuous-variable problems, this unparalleled work provides an introduction to classical RL and DP, followed by a presentation of current methods in RL and DP with approximation. Combining algorithm development with theoretical guarantees, it offers illustrative examples that readers will be able to adapt to their own work.
eBook
Instrumentation and Control Systems and Software Important to Safety for Research Reactors
This publication provides specific recommendations on research reactor instrumentation and control systems and software important to safety, including instrumentation and control system architecture and associated components, from sensors to actuators, operator interfaces and auxiliary equipment, to meet the relevant requirements of IAEA Safety Standards Series No. SSR-3, Safety of Research Reactors. The recommendations and guidance apply to both the design and configuration management of instrumentation and control systems for new research reactors and the modernization of the instrumentation and control systems at existing research reactor facilities. In addition, this Safety Guide provides recommendations and guidance on human factors engineering and human-machine interfaces, and for computer based systems and software for use in instrumentation and control systems important to safety. This Safety Guide is a revision of IAEA Safety Standards Series No. SSG-37, which it supersedes.
eBook
Data-Driven Enhancements for MPC-Based Path Tracking Controller in Autonomous Vehicles
The accuracy of the control model is essential for the effectiveness of model-based control methods. However, factors such as model simplification, parameter variations, and environmental noise can introduce inaccuracies in vehicle state descriptions, thereby compromising the precision of path tracking. This study introduces data-driven enhancements for an MPC-based path tracking controller in autonomous vehicles (DD-PTC). The approach consists of two parts: firstly, Kolmogorov–Arnold Networks (KANs) are utilized to estimate tire lateral forces and correct tire cornering stiffness, thereby establishing a dynamic predictive model. Secondly, Gaussian Process Regression (GPR) is deployed to accurately capture the unmodeled dynamics of the vehicle to form a comprehensive control model. This enhanced model allows for precise path tracking through steering control. The superiority of DD-PTC is confirmed through extensive testing on the Simulink-CarSim simulation platform, where it consistently surpasses normal MPC and Linear Quadratic Regulator (LQR) strategies, especially in minimizing lateral distance errors under challenging driving conditions.
Journal Article
The role of digitalization and ESG on financial performance: An empirical analysis on the Energy and Utilities sectors
In recent years authorities and regulators around the world are showing great interest in the concept of sustainability. Sustainable practices are a growing phenomenon around the world and there is increasing research on the correlation between Environmental, Social and Governance (ESG) and corporate financial performance (FP). In parallel with the increasing focus on ESG, digitalization has gained a pivotal role in the business environment. The paper wants to investigate the relationship between ESG factors and financial performance. Moreover, it tries to understand how digitalization influences that relationship. We use panel data regression using pooled ordinary least squares, fixed effects or least squares dummy variables. The panel covered by our study consists of a sample of listed companies belonging to the Energy and Utilities sectors observed from the year 2019 to 2021. In particular, our data set includes financial indicators closely related to the corporate profitability, sustainability indicators and an indicator use as a proxy of digitalization. The results provide interesting insights on how digitalization can moderate the relationship between ESG and profitability goals within the business environment, and especially the correlation that exists between sustainability and profit. The results suggest that ESG integration in corporate organizations positively affects FP because a strong ESG proposition enables businesses to grow both in existing and new markets. The findings further support the need to invest in digitalization since they show a substantial gain in financial efficiency, which can eventually boost corporate revenues. The research results support the minimization of the corporate social cost and, more generally, of social well-being. We contribute to the literature by studying the moderating role of investments in digital technologies in the context of sustainability, to understand whether or not digitalization can accelerate the impact of ESG on corporate profitability.
Journal Article