Прогнозирующее управление.
Законченное исследование различных подходов в прогнозирующем управлении.
Вводит фундаментальные понятия систем, моделирования, для прогнозирующего управления, детализируя развитие от классического до синтезирующих подходов
Идентифицирует важные общие подходы к синтезу.
Обсуждает открытую петлю и оптимизацию с обратной связью в подходах синтеза.
Вывод подхода синтеза обратной связи без конечного горизонта переключения.
This book addresses industrial model predictive controls (МРС), adaptive
МРС, synthesis approaches of МРС and two-step МРС, with emphasis оп
synthesis approaches and the relationship between heuristic МРС and synthesis approaches. Chapter 1 introduces the concepts of system, modeling
and МРС, including the description of transition from classical МРС to synthesis approaches. Chapters 2, 3 and 4 are conceed with model predictive
heuristic control, dynamic matrix control and generalized predictive control,
respectively. Chapter 5 talks about two-step МРС for systems with input
nonlinearities. Chapter 6 concludes the main ideas in synthesis approaches
of МРС. Chapters 7, 8 and 9 are conceed with synthesis approaches when
the state is measurable. The polytopic description is mainly considered. This
is one of the first works to systematically address robust МРС. Chapter 10
looks at synthesis approaches of output feedback МРС. This book presents
ап unbiased account of the significance of various МРС.
1 Systems, modeling and model predictive control.
2 Model algorithmic control (МАС)
3 Dynamic matrix control (DMC)
4 Generalized predictive control (GPC)
5 Two-step model predictive control
6 Sketch of synthesis approaches of МРС
7 State feedback synthesis approaches
8 Synthesis approaches with finite switching horizon
9 Open-loop optimization and closed-loop optimization in synthesis approaches
10 Output feedback synthesis approaches
Законченное исследование различных подходов в прогнозирующем управлении.
Вводит фундаментальные понятия систем, моделирования, для прогнозирующего управления, детализируя развитие от классического до синтезирующих подходов
Идентифицирует важные общие подходы к синтезу.
Обсуждает открытую петлю и оптимизацию с обратной связью в подходах синтеза.
Вывод подхода синтеза обратной связи без конечного горизонта переключения.
This book addresses industrial model predictive controls (МРС), adaptive
МРС, synthesis approaches of МРС and two-step МРС, with emphasis оп
synthesis approaches and the relationship between heuristic МРС and synthesis approaches. Chapter 1 introduces the concepts of system, modeling
and МРС, including the description of transition from classical МРС to synthesis approaches. Chapters 2, 3 and 4 are conceed with model predictive
heuristic control, dynamic matrix control and generalized predictive control,
respectively. Chapter 5 talks about two-step МРС for systems with input
nonlinearities. Chapter 6 concludes the main ideas in synthesis approaches
of МРС. Chapters 7, 8 and 9 are conceed with synthesis approaches when
the state is measurable. The polytopic description is mainly considered. This
is one of the first works to systematically address robust МРС. Chapter 10
looks at synthesis approaches of output feedback МРС. This book presents
ап unbiased account of the significance of various МРС.
1 Systems, modeling and model predictive control.
2 Model algorithmic control (МАС)
3 Dynamic matrix control (DMC)
4 Generalized predictive control (GPC)
5 Two-step model predictive control
6 Sketch of synthesis approaches of МРС
7 State feedback synthesis approaches
8 Synthesis approaches with finite switching horizon
9 Open-loop optimization and closed-loop optimization in synthesis approaches
10 Output feedback synthesis approaches