This book is a comprehensive study of decision-making strategies for domain search and object classification using multiple autonomous vehicles (MAVs) under both deterministic and probabilistic frameworks. It provides detailed analysis, simulation and results.
This book is a comprehensive study of decision-making strategies for domain search and object classification using multiple autonomous vehicles (MAVs)...
This book covers the control and dynamics of time delay systems, from its six-decade history to new texhniques designed to meet the many new challenges that are emerging from engineering, physics, mathematics, and economics.
This book covers the control and dynamics of time delay systems, from its six-decade history to new texhniques designed to meet the many new challenge...
Here is a coherent approach to sensor network scheduling for parameter estimation in dynamic distributed systems modeled with partial differential equations, applying the so-called Fisher information matrix to the covariance matrix of parameter estimates.
Here is a coherent approach to sensor network scheduling for parameter estimation in dynamic distributed systems modeled with partial differential equ...
This book is devoted to analysis and design on delta operator systems. When sampling is fast, a dynamical system will become difficult to control, which can be seen in wide real world applications. Delta operator approach is very effective to deal with fast sampling systems. Moreover, it is easy to observe and analyze the control effect with different sampling periods in delta operator systems. The framework of this book has been carefully constructed for delta operator systems to handle sliding mode control, time delays, filter design, finite frequency and networked control. These...
This book is devoted to analysis and design on delta operator systems. When sampling is fast, a dynamical system will become difficult to control, ...
Nonlinear Model Predictive Control (NMPC) has become the accepted methodology to solve complex control problems related to process industries. The main motivation behind explicit NMPC is that an explicit state feedback law avoids the need for executing a numerical optimization algorithm in real time. The benefits of an explicit solution, in addition to the efficient on-line computations, include also verifiability of the implementation and the possibility to design embedded control systems with low software and hardware complexity.
This book considers the...
Nonlinear Model Predictive Control (NMPC) has become the accepted methodology to solve complex control problems related to process industries. The ...
Robot Motion Control 2011 presents very recent results in robot motion and control. Forty short papers have been chosen from those presented at the sixth International Workshop on Robot Motion and Control held in Poland in June 2011. The authors of these papers have been carefully selected and represent leading institutions in this field. The following recent developments are discussed: Design of trajectory planning schemes for holonomic and nonholonomic systems with optimization of energy, torque limitations and other factors. New control algorithms for industrial robots,...
Robot Motion Control 2011 presents very recent results in robot motion and control. Forty short papers have been chosen from those presented at the si...
This book focuses on recently-developed methods of delay-integral-quadratic constraints to provide criteria for absolute stability of nonlinear control systems. Many classical results are naturally extended, to both time-periodic and nonstationary systems.
This book focuses on recently-developed methods of delay-integral-quadratic constraints to provide criteria for absolute stability of nonlinear contro...
Providing students with a clear introduction to discrete-event systems, petri nets, automata and max-plus algebra, this volume includes industrial case studies for a rounded assessment of problems in control and fault diagnosis for distributed systems. Most of the material in this book has been presented during a Ph.D. school held in Cagliari, Italy, in June 2011.
Providing students with a clear introduction to discrete-event systems, petri nets, automata and max-plus algebra, this volume includes industrial cas...
This book presents algorithms for constrained and unconstrained optimization and for reinforcement learning. These are demonstrated in a wide range of applications including service systems, vehicular traffic control, communications networks and more. The breadth of applications makes the book appropriate for reader from similarly diverse backgrounds: workers in relevant areas of computer science, control engineering, management science, applied mathematics, industrial engineering and operations research will find the content of value.
This book presents algorithms for constrained and unconstrained optimization and for reinforcement learning. These are demonstrated in a wide range of...
Vehicles are complex systems (non-linear, multi-variable) where the abundance of embedded controllers should ensure better security. This book aims at emphasizing the interest and potential of Linear Parameter Varying methods within the framework of vehicle dynamics, e.g. proposed control-oriented model, complex enough to handle some system non linearities but still simple for control or observer design, take into account the adaptability of the vehicle's response to driving situations, to the driver request and/or to the road sollicitations, manage interactions between various actuators...
Vehicles are complex systems (non-linear, multi-variable) where the abundance of embedded controllers should ensure better security. This book aims...
