The focus of this book is on the design of a specific control strategy using digital computers. This control strategy referred to as Sliding Mode Control (SMC), has its roots in (continuous-time) relay control. This book aims to explain recent investigations' output in the field of discrete-time sliding mode control (DSMC). The book starts by explaining a new robust LMI-based (state-feedback and observer-based output-feedback) DSMC including a new scheme for sparsely distributed control. It includes a novel event-driven control mechanism, called actuator-based event-driven scheme, using a synchronized-rate biofeedback system for heart rate regulation during cycle-ergometer. Key Features: Focuses on LMI-based SMC (sliding mode control) for uncertain discrete-time system using novel nonlinear components in the control law Makes reader understand the techniques of designing a discrete controller based on the flexible sliding functions Proposes new algorithms for sparsifying control and observer network through multi-objective optimization frameworks Discusses a framework for the design of SMC for two-dimensional systems along with analyzing the controllability of two-dimensional systems Discusses novel schemes for sparsifying the control network

This book details the major artificial lift methods that can be applied to hydrocarbon reservoirs with declining pressure. These include: the sucker rod pump, gas lift, electrical submersible pump, progressive cavity pump, and plunger lift. The design and applications, as well as troubleshooting, are discussed for each method, and examples, exercises and design projects are provided in order to support the concepts discussed in each chapter. The problems associated with oil recovery in horizontal wells are also explored, and the author proposes solutions to address the various extraction challenges that these wells present. The book represents a timely response to the difficulties associated with unconventional oil sources and declining wells, offering a valuable resource for students of petroleum engineering, as well as hydrocarbon recovery researchers and practicing engineers in the petroleum industry.

The focus of this book is on the design of a specific control strategy using digital computers. This control strategy referred to as Sliding Mode Control (SMC), has its roots in (continuous-time) relay control. This book aims to explain recent investigations' output in the field of discrete-time sliding mode control (DSMC). The book starts by explaining a new robust LMI-based (state-feedback and observer-based output-feedback) DSMC including a new scheme for sparsely distributed control. It includes a novel event-driven control mechanism, called actuator-based event-driven scheme, using a synchronized-rate biofeedback system for heart rate regulation during cycle-ergometer. Key Features: Focuses on LMI-based SMC (sliding mode control) for uncertain discrete-time system using novel nonlinear components in the control law Makes reader understand the techniques of designing a discrete controller based on the flexible sliding functions Proposes new algorithms for sparsifying control and observer network through multi-objective optimization frameworks Discusses a framework for the design of SMC for two-dimensional systems along with analyzing the controllability of two-dimensional systems Discusses novel schemes for sparsifying the control network

This book details the major artificial lift methods that can be applied to hydrocarbon reservoirs with declining pressure. These include: the sucker rod pump, gas lift, electrical submersible pump, progressive cavity pump, and plunger lift. The design and applications, as well as troubleshooting, are discussed for each method, and examples, exercises and design projects are provided in order to support the concepts discussed in each chapter. The problems associated with oil recovery in horizontal wells are also explored, and the author proposes solutions to address the various extraction challenges that these wells present. The book represents a timely response to the difficulties associated with unconventional oil sources and declining wells, offering a valuable resource for students of petroleum engineering, as well as hydrocarbon recovery researchers and practicing engineers in the petroleum industry.

This book focuses on computational intelligence techniques and its applications fast-growing and promising research topics that have drawn a great deal of attention from researchers over the years. It brings together many different aspects of the current research on intelligence technologies such as neural networks, support vector machines, fuzzy logic and evolutionary computation, and covers a wide range of applications from pattern recognition and system modeling, to intelligent control problems and biomedical applications.

Fundamental concepts and essential analysis of various computational techniques are presented to offer a systematic and effective tool for better treatment of different applications, and simulation and experimental results are included to illustrate the design procedure and the effectiveness of the approaches.