28 citations · 43 across the 10 of their papers we have counts for
10 papers
Revisiting Certainty Equivalence: The Structural Coupling Between Estimation and Control in Underactuated Nonlinear Systems
Daniel Engelsman, Itzik Klein
The certainty equivalence (CE) principle underpins a wide range of control architectures by enabling the separation of estimation and control design. While this property holds for…
AERO-LQG: Aerial-Enabled Robust Optimization for LQG-Based Quadrotor Flight Controller
Daniel Engelsman, Itzik Klein
Quadrotors are indispensable in civilian, industrial, and military domains, undertaking complex, high-precision tasks once reserved for specialized systems. Across all contexts, en…
C-ZUPT: Stationarity-Aided Aerial Hovering
Daniel Engelsman, Itzik Klein
Autonomous systems across diverse domains have underscored the need for drift-resilient state estimation. Although satellite-based positioning and cameras are widely used, they oft…
Diffusion Denoiser-Aided Gyrocompassing
Gershy Ben-Arie, Daniel Engelsman, Rotem Dror +1
An accurate initial heading angle is essential for efficient and safe navigation across diverse domains. Unlike magnetometers, gyroscopes can provide accurate heading reference ind…
Inertial-Based LQG Control: A New Look at Inverted Pendulum Stabilization
Daniel Engelsman, Itzik Klein
Linear quadratic Gaussian (LQG) control is a well-established method for optimal control through state estimation, particularly in stabilizing an inverted pendulum on a cart. In st…
Underwater MEMS Gyrocompassing: A Virtual Testing Ground
Daniel Engelsman, Itzik Klein
In underwater navigation, accurate heading information is crucial for accurately and continuously tracking trajectories, especially during extended missions beneath the waves. In o…
Towards Learning-Based Gyrocompassing
Daniel Engelsman, Itzik Klein
Inertial navigation systems (INS) are widely used in both manned and autonomous platforms. One of the most critical tasks prior to their operation is to accurately determine their…
Parametric and State Estimation of Stationary MEMS-IMUs: A Tutorial
Daniel Engelsman, Yair Stolero, Itzik Klein
Inertial navigation systems (INS) are widely used in almost any operational environment, including aviation, marine, and land vehicles. Inertial measurements from accelerometers an…
A Learning-based approach for bias elimination in low cost gyroscopes
Daniel Engelsman, Itzik Klein
Modern sensors play a pivotal role in many operating platforms, as they manage to track the platform dynamics at a relatively low manufacturing costs. Their widespread use can be f…
Data-Driven Denoising of Stationary Accelerometer Signals
Daniel Engelsman, Itzik Klein
Modern navigation solutions are largely dependent on the performances of the standalone inertial sensors, especially at times when no external sources are available. During these o…