@article{1439689,
      recid = {1439689},
      author = {Ahmed, N. U. and Wang, Shian,},
      title = {Optimal control of dynamic systems driven by vector  measures : theory and applications /},
      pages = {1 online resource :},
      abstract = {This book is devoted to the development of optimal control  theory for finite dimensional systems governed by  deterministic and stochastic differential equations driven  by vector measures. The book deals with a broad class of  controls, including regular controls (vector-valued  measurable functions), relaxed controls (measure-valued  functions) and controls determined by vector measures,  where both fully and partially observed control problems  are considered. In the past few decades, there have been  remarkable advances in the field of systems and control  theory thanks to the unprecedented interaction between  mathematics and the physical and engineering sciences.  Recently, optimal control theory for dynamic systems driven  by vector measures has attracted increasing interest. This  book presents this theory for dynamic systems governed by  both ordinary and stochastic differential equations,  including extensive results on the existence of optimal  controls and necessary conditions for optimality.  Computational algorithms are developed based on the  optimality conditions, with numerical results presented to  demonstrate the applicability of the theoretical results  developed in the book. This book will be of interest to  researchers in optimal control or applied functional  analysis interested in applications of vector measures to  control theory, stochastic systems driven by vector  measures, and related topics. In particular, this  self-contained account can be a starting point for further  advances in the theory and applications of dynamic systems  driven and controlled by vector measures.},
      url = {http://library.usi.edu/record/1439689},
      doi = {https://doi.org/10.1007/978-3-030-82139-5},
}