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Tactical and strategic missile guidance
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In this paper, a three-loop Autopilot is used to provide tactical and strategic guidance for a single-antenna MIMO-BMG system using MATLAB units.Abstract:
Numerical Techniques Fundamentals of Tactical Missile Guidance Method of Adjoints and the Homing Loop Noise Analysis Convariance Analysis and the Homing Loop Proportional Navigation and Miss Distance Digital Fading Memory Noise Filters in the Homing Loop Advanced Guidance Laws Kalman Filters and the Homing Loop Other Forms of Tactical Guidance Tactical Zones Strategic Considerations Boosters Lambert Guidance Strategic Intercepts Miscellaneous Topics Ballistic Target Properties Extended Kalman Filtering and Ballistic Coefficient Estimation Ballistic Target Challenges Multiple Targets Weaving Targets Representing Missile Airframe with Transfer Functions Introduction to Flight Control Design Three-Loop Autopilot. Appendices: Tactical and Strategic Missile Guidance Software Converting Programmes to C Converting Programmes to MATLAB Units.read more
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Proceedings ArticleDOI
Advanced Pure Pursuit Guidance Via Sliding Mode Approach for Chase UAV
Takeshi Yamasaki,Keisuke Enomoto,Hiroyuki Takano,Yoriaki Baba,Sivasubramanya N. Balakrishnan +4 more
TL;DR: In this paper, an advanced pure pursuit guidance method for chase UAVs is presented. But the approach is based on a three-dimensional expression related to a line-of-sight (LOS) angle.
Journal ArticleDOI
Tracking Reentry Ballistic Targets using Acceleration and Jerk Models
TL;DR: A comparative assessment of several dynamic models for reentry of ballistic targets reported in the literature and those proposed here demonstrates that the estimation errors in velocity and acceleration are significantly less for the proposed models compared with the existing ones.
Journal ArticleDOI
Effect of sliding mode observers in the homing guidance loop
TL;DR: It is shown that sliding mode observers have an advantage over traditional Kalman filters in the homing loop upon target maneuvering at a short time-to-go.
Journal ArticleDOI
Computational Missile Guidance: A Deep Reinforcement Learning Approach
TL;DR: In this paper, the authors examined the potential of using deep reinforcement learning techniques in missile guidance applications, and proposed a Markovian decision process that enables the application of reinforcement learning in this task.
Proceedings ArticleDOI
Homing guidance with terminal angular constraint against nonmaneuvering and maneuvering targets
TL;DR: In this paper, a modified proportional navigation (MPN) is proposed to achieve the null miss distance and the desired impact attitude angle simultaneously, and its performance is analyzed by employing a Lyapunov-like function with the sliding mode control methodology.