Real-Time Convex Optimization in Signal Processing

By Jacob Mattingley, Stephen P. Boyd. IEEE Signal Processing Magazine, 2010

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Event-Triggered State Observers for Sparse Sensor Noise/Attacks (2013, unknown): “The robust Kalman filter, described in [14], is the approach to faulttolerant state reconstruction closer to the results in this paper, at the technical level.”
Convex Optimization-Based Beamforming (2010, background): “IEEE SIGNAL PROCESSING MAGAZINE [65] MAY 2010 [4].”
Model Predictive Control for Vehicle Stabilization at the Limits of Handling (2013, methodology): “Using a software such as described in [12] and [13], custom C-code is generated which can solve the model predictive envelope control problem with a 15-step horizon in under 2 ms on a single core of an Intel Core2 Duo processor.”
Using Inertial Sensors for Position and Orientation Estimation (2017, unknown): “gp(y tjx t): (4.2) There are various ways to solve problems of this kind, for instance particle smoothers [81], an extended Rauch-Tung-Striebel (RTS) smoother [127] and optimization methods, see e.g. [103, 95]. The latter approach is closely related to iterated Kalman smoothers [10, 65]. We will sol”