Siddhartha Ganguly, Souvik Das, Debasish Chatterjee, Ravi Banavar
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Discrete‐time Pontryagin maximum principle under rate constraints: Necessary conditions for optimality
SummaryLimited bandwidth and limited saturation in actuators are practical concerns in control systems. Mathematically, these limitations manifest as constraints imposed on the control actions, their rates of change, and, more generally, the global behavior of their paths. While the problem of actuator saturation has been studied extensively, little attention has been devoted to the problem of actuators having limited bandwidth. While attempts have been made in the direction of incorporating frequency constraints on state‐action trajectories before, rate constraints on the control at the design stage have not been studied extensively in the discrete‐time regime. This article contributes toward filling this lacuna: We establish a new discrete‐time Pontryagin maximum principle with rate constraints imposed on the control trajectories and derive first‐order necessary conditions for optimality. A brief discussion on the existence of optimal control is also included.
期刊介绍:
The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application.
Published six times a year, the Journal aims to be a key platform for control communities throughout the world.
The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive.
Topics include:
The theory and design of control systems and components, encompassing:
Robust and distributed control using geometric, optimal, stochastic and nonlinear methods
Game theory and state estimation
Adaptive control, including neural networks, learning, parameter estimation
and system fault detection
Artificial intelligence, fuzzy and expert systems
Hierarchical and man-machine systems
All parts of systems engineering which consider the reliability of components and systems
Emerging application areas, such as:
Robotics
Mechatronics
Computers for computer-aided design, manufacturing, and control of
various industrial processes
Space vehicles and aircraft, ships, and traffic
Biomedical systems
National economies
Power systems
Agriculture
Natural resources.