Advances in Control Systems Series

Advances in Control Systems: Theory and Applications, Volume 1 provides information pertinent to the significant progress in the field of automatic control. This book presents several fundamental approaches to algorithms for the determination of optimum control inputs to a system. Organized into six chapters, this volume begins with an overview of the optimal method of controlling a given system with respect to the given criterion of performance. This text then summarizes some of the basic results of the maximum principle and illustrates how they may be exploited in control system studies. Other chapters consider the fundamental approach underlying almost all the existing works on the control of distributed parameter systems. This book discusses as well some important concepts in the theory of optimal control. The final chapter deals with the problem of controlling processes under the condition of uncertain changes in the process to be controlled. This book is a valuable resource for practicing engineers, applied mathematicians, and scientists.

Advances in Control Systems: Theory and Applications, Volume 2 provides information pertinent to the significant progress in the field of automatic control. This book presents different methods for generating Liapunov functions, which is important in the analysis of nonlinear systems. Organized into five chapters, this volume begins with an overview of the reduction of the important method of Liapunov to a practical working tool for the analysis of complex nonlinear systems. This text then discusses applications of the rather powerful method of dynamic programming to a complex class of problems. Other chapters consider the mathematical theory of optimal control, which is often confronted with the task of solving a system of first-order ordinary differential equations. This book discusses as well the input–output relationship of multivariable linear systems or plants. The final chapter deals with a powerful technique for design by analysis of nonlinear systems. This book is a valuable resource for mathematicians and engineers.

Advances in Control Systems: Theory and Applications, Volume 3 provides information pertinent to the significant progress in the field of automatic control. This book presents the leading areas of application of some of the more advanced control techniques in the field of aerospace vehicles. Organized into six chapters, this volume begins with an overview of several topics, including space vehicle orbit determination, space vehicle rendezvous guidance and control methods, and reentry vehicle guidance and control. This text then examines the solution of the reference control input or trajectory problem by the quaslinearization or generalized Newton–Raphson operator technique. Other chapters consider the basic problem of existence of optimal control and discuss the application of Kalman filtering techniques to nonlinear system problems. This book discusses as well the role of existence theorems in optimal control. The final chapter deals with the application areas of state-space techniques. This book is a valuable resource for aerospace engineers.

Advances in Control Systems: Theory and Applications, Volume 4 provides information pertinent to the significant progress in the field of automatic control. This book presents several fundamental approaches to algorithms for the determination of optimum control inputs to a system. Organized into six chapters, this volume begins with an overview of presents the method of sequential optimization including examples of its application. This text then examines the powerful direct method of Liapunov function techniques to the subject of the stability of stochastic dynamical systems. Other chapters consider the aspect of optimum control of large-scale complex system, which is the most striking characteristic in the evolution of the practice of control systems theory. This book discusses as well the basic techniques for the modification of the control problem. The final chapter deals with the problem of convergence properties of the method of gradients. This book is a valuable resource for engineers.

Advances in Control Systems: Theory and Applications, Volume 5 provides information pertinent to the significant progress in the field of control and systems theory and applications. This book presents the problem of the optimal control of a system. Organized into six chapters, this volume begins with an overview of the fundamental conditions in the calculus of variations that are basic to the optimal control problem. This text then examines one of the basic problems in control and systems theory in general. Other chapters consider a number of rather basic results in optimal nonlinear filtering and describe the characteristic function of the state of vector of a nonlinear system. This book discusses as well a significant application area of control and systems theory, which is the optimal control of nuclear reactors. The final chapter deals with optimal control with bounds on the state variables. This book is a valuable resource for practicing engineers.

Advances in Control Systems: Theory and Applications, Volume 6 provides information pertinent to the significant progress in the field of control and systems theory and applications. This book presents the higher level of automata, which represent the embodiment of the application of artificial intelligence techniques to control system design and may be described as self-organizing systems. Organized into four chapters, this volume begins with an overview of the existing technology in learning control system. This text then demonstrates how to apply artificial intelligence techniques to the designs of off-line and on-line learning control systems. Other chapters consider the decomposition methods and the associated multilevel optimization techniques applicable to control system optimization problems. This book discusses as well the complex optimal system control problems applied to the trajectory optimization problem. The final chapter deals with systems described by partial differential equations. This book is a valuable resource for control system engineers.

Advances in Control Systems: Theory and Applications, Volume 7 provides information pertinent to the significant progress in the field of control and systems theory and applications. This book covers the important general area of computational problems in random and deterministic dynamic systems. Organized into six chapters, this volume begins with an overview of the controllability of a stochastic system. This text then presents a survey and status of methods for nonlinear minimal variance filtering. Other chapters consider some possible pitfalls and develop practical approximate nonlinear filters. This book discusses as well the area of computational problems and techniques for optimal nonlinear control problems. Computer simulation results are also included in order to show a number of the key results. The final chapter deals with the development of algorithms for the determination of the optimal control of distributed parameter systems, which pervades many areas of engineering endeavor. This book is a valuable resource for mathematicians and engineers.

Advances in Control Systems: Theory and Applications, Volume 8 provides information pertinent to significant progress in the field of control and systems theory and applications. This book focuses on applications to large-scale systems. Organized into seven chapters, this volume begins with an overview of an effective algorithm for dynamic system organization with state variable constraints. This text then explores a number of effective techniques for the analysis and syntheses of final value control systems. Other chapters consider some significant problems associated with the practical application of Kalman Filter techniques. This book discusses as well the most significant and fundamental work on the international scene in the development of effective algorithms for dynamic system optimization. The final chapter deals with the application of modern control methods of complex industrial process control problems. This book is a valuable resource for mathematicians, control system engineers, physical scientists, economists, econometricians, and research workers.