Zhigang Luo – författare

Comparison between event-based MPC and traditional MPC, highlighting unique advantages and supported with detailed examples for key algorithms Event-based Model Predictive Control delivers comprehensive knowledge on event-based MPC methods by analyzing the characteristics of event triggering mechanisms and model prediction methods to reduce the burden of optimization problems. The book begins with a comprehensive introduction detailing recent advances related to event-based MPC, then discusses different types of event-based MPC applied to various types of systems. The book provides a quantitative analysis of computation, communication, and energy efficiency gains in various scenarios, highlights new trends such as periodic/aperiodic event triggers and applications in distributed systems, and discusses ongoing challenges and potential research directions. Numerical and key algorithm examples are included throughout to aid in reader comprehension. Written by a team of experts in the field, this book includes information on: A two-stage predictive event-triggered MPC method for disturbed nonlinear continuous systemsAn event-based non-periodic interval sampling MPC method for disturbed discrete nonlinear systemsA composite event-triggered MPC method based on disturbance compensation for constrained discrete systems with slowly varying disturbancesA periodic sampling event-triggered distributed MPC method for the formation control task of multi-agent vehicle systems with nonholonomic constraintsThis book is a definitive resource on the subject for students, researchers, and practitioners in the field of control engineering.

Comparison between event-based MPC and traditional MPC, highlighting unique advantages and supported with detailed examples for key algorithms Event-based Model Predictive Control delivers comprehensive knowledge on event-based MPC methods by analyzing the characteristics of event triggering mechanisms and model prediction methods to reduce the burden of optimization problems. The book begins with a comprehensive introduction detailing recent advances related to event-based MPC, then discusses different types of event-based MPC applied to various types of systems. The book provides a quantitative analysis of computation, communication, and energy efficiency gains in various scenarios, highlights new trends such as periodic/aperiodic event triggers and applications in distributed systems, and discusses ongoing challenges and potential research directions. Numerical and key algorithm examples are included throughout to aid in reader comprehension. Written by a team of experts in the field, this book includes information on: A two-stage predictive event-triggered MPC method for disturbed nonlinear continuous systems An event-based non-periodic interval sampling MPC method for disturbed discrete nonlinear systems A composite event-triggered MPC method based on disturbance compensation for constrained discrete systems with slowly varying disturbances A periodic sampling event-triggered distributed MPC method for the formation control task of multi-agent vehicle systems with nonholonomic constraints This book is a definitive resource on the subject for students, researchers, and practitioners in the field of control engineering.

Comparison between event-based MPC and traditional MPC, highlighting unique advantages and supported with detailed examples for key algorithms Event-based Model Predictive Control delivers comprehensive knowledge on event-based MPC methods by analyzing the characteristics of event triggering mechanisms and model prediction methods to reduce the burden of optimization problems. The book begins with a comprehensive introduction detailing recent advances related to event-based MPC, then discusses different types of event-based MPC applied to various types of systems. The book provides a quantitative analysis of computation, communication, and energy efficiency gains in various scenarios, highlights new trends such as periodic/aperiodic event triggers and applications in distributed systems, and discusses ongoing challenges and potential research directions. Numerical and key algorithm examples are included throughout to aid in reader comprehension. Written by a team of experts in the field, this book includes information on: A two-stage predictive event-triggered MPC method for disturbed nonlinear continuous systems An event-based non-periodic interval sampling MPC method for disturbed discrete nonlinear systems A composite event-triggered MPC method based on disturbance compensation for constrained discrete systems with slowly varying disturbances A periodic sampling event-triggered distributed MPC method for the formation control task of multi-agent vehicle systems with nonholonomic constraints This book is a definitive resource on the subject for students, researchers, and practitioners in the field of control engineering.

This book systematically introduces readers to the framework of China’s ETS pilots, exploring their design and operating process, the current state of the carbon market, and various barriers encountered. To do so, it deconstructs the Guangdong ETS, which is the largest and most representative of China’s seven ETS pilots. The book subsequently describes and evaluates all seven pilots in terms of their efficiency, macro and micro effects, the method involved in the DEA model, the CGE model, and cost-benefit analysis. In turn, in the assessment section it demonstrates how some ETS pilots have failed to control carbon emissions due to inordinately high emissions quotas issued by the local government etc. Further, it argues that ETS should focus on those industries with large emissions and high mitigating potential for the time being, and then gradually expand the scale of its coverage.As China’s national ETS is slated for launch on the basis of the lessons learned from the ETS pilots, the book offers a timely and valuable resource for all those who want to understand and forecast the development of China’s ETS. It includes a wealth of descriptions and explanations of Chinese government policies involving carbon emissions control, making it a unique resource.