Omni-directional mobile robot controller based on trajectory linearization
Robotics and Autonomous Systems
Adaptive disturbance accommodating controller for uncertain stochastic systems
ACC'09 Proceedings of the 2009 conference on American Control Conference
A taxonomy for radio location fingerprinting
LoCA'07 Proceedings of the 3rd international conference on Location-and context-awareness
Research Infrastructure for Interactive Human- and Autonomous Guidance
Journal of Intelligent and Robotic Systems
Temperature tracking: an innovative run-time approach for hardware Trojan detection
Proceedings of the International Conference on Computer-Aided Design
Data Fusion Algorithm for the Altitude and Vertical Speed Estimation of the VTOL Platform
Journal of Intelligent and Robotic Systems
A Survey and Categorization of Small Low-Cost Unmanned Aerial Vehicle System Identification
Journal of Intelligent and Robotic Systems
Hi-index | 0.00 |
Optimal Estimation of Dynamic Systems, Second Edition highlights the importance of both physical and numerical modeling in solving dynamics-based estimation problems found in engineering systems. Accessible to engineering students, applied mathematicians, and practicing engineers, the text presents the central concepts and methods of optimal estimation theory and applies the methods to problems with varying degrees of analytical and numerical difficulty. Different approaches are often compared to show their absolute and relative utility. The authors also offer prototype algorithms to stimulate the development and proper use of efficient computer programs. MATLAB codes for the examples are available on the books website. New to the Second EditionWith more than 100 pages of new material, this reorganized edition expands upon the best-selling original to include comprehensive developments and updates. It incorporates new theoretical results, an entirely new chapter on advanced sequential state estimation, and additional examples and exercises. An ideal self-study guide for practicing engineers as well as senior undergraduate and beginning graduate students, the book introduces the fundamentals of estimation and helps newcomers to understand the relationships between the estimation and modeling of dynamical systems. It also illustrates the application of the theory to real-world situations, such as spacecraft attitude determination, GPS navigation, orbit determination, and aircraft tracking.