
A New Approach to Linear Filtering and Prediction Problems
A transcription of R.E. Kalman's seminal paper. Transcribed by John Lukesh, 20 January 2002
The classical filtering and prediction problem is re-examined using the Bode- Shannon...
See MoreMATLAB Example: Train MBPO Agent to Balance Cart-Pole System
This example shows how to train a model-based policy optimization (MBPO) agent to balance a cart-pole system modeled in MATLAB. For more information on MBPO agents, see Model-Based Policy...
See MoreCreating Discrete-Time Models
This MATLAB example shows how to create discrete-time linear models using the tf
, zpk
, ss
, and frd
commands.
Conventional and Adaptive Beamformers
This example illustrates how to apply digital beamforming to a narrowband signal received by an antenna array. Three beamforming algorithms are illustrated: the phase shift beamformer...
See MoreA Tutorial on PES Pareto Methods for Analysis of Noise Propagation in Feedba...
This paper represents a tutorial on the so called PES Pareto methodology of analyzing the sources of noise in a feedback loop. Originally conceived for analyzing noise contributors in...
See MoreIncreasing Angular Resolution with Virtual Arrays
This MATLAB example introduces how forming a virtual array in MIMO radars can help increase angular resolution. It shows how to simulate a coherent MIMO radar signal processing chain using...
See MoreSimulating Test Signals for a Radar Receiver
This example shows how to simulate received signal of a monostatic pulse radar to estimate the target range. A monostatic radar has the transmitter collocated with the receiver. The...
See MoreMATLAB Example: Solve Constrained Nonlinear Optimization, Problem-Based
This example shows how to find the minimum of a nonlinear objective function with a nonlinear constraint by using the problem-based approach.
See MoreGuaranteed Margins for LQR Regulators
John Doyle's famous paper! He presents a counterexample that shows that are no guaranteed margins for LQG systems.
See MorePerspectives on Control-Relevant Identification Through the Use of Interacti...
This paper presents a control-relevant identification methodology through an intuitive interactive tool called "Interactive Tool for Control Relevant Identification (ITCRI)". ITCRI...
See MoreRadar Systems Engineering MATLAB Documentation and Examples
The functions in this section give you the MATLAB tools needed to evaluate the performance of a radar system. You can use the radar equation to evaluate the radar received signal-to-noise...
See MoreFixed-Point HDL-Optimized Minimum-Variance Distortionless-Response (MVDR) Be...
This example shows how to implement a fixed-point HDL-optimized minimum-variance distortionless-response (MVDR) beamformer in MATLAB.
See MoreManuscript about ITISE: an Interactive Software Tool for System Identificati...
The paper describes the conceptual basis, main features and functionality of an interactive software tool developed in support of system identification education and discovery.
This...
See MoreFast chirp FMCW Radar in automotive applications
FMCW (frequency-modulated continuous wave radar) modulations have been popularly implemented in the automotive radar applications. This document demonstrates system requirement for a new...
See MoreAveraging and Vibrational Control of Mechanical Systems
Abstract. This paper investigates averaging theory and oscillatory control for a large class of mechanical systems. A link between averaging and controllability theory is presented by...
See MoreImprove SNR and Capacity of Wireless Communication Using Antenna Arrays
The goal of a wireless communication system is to serve as many users with the highest possible data rate given constraints such as radiation power limit and operating budget. To improve the...
See MoreDealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning
From the abstract
Recent developments in deep reinforcement learning are concerned with creating decision-making agents which can perform well in various complex domains. A particular...
See MoreMATLAB Example: Waveform Analysis Using the Ambiguity Function
This example shows how to use the ambiguity function to analyze waveforms. It compares range and Doppler capabilities of several common pulsed waveforms such as the rectangular waveform, the...
See MoreExperimental evaluation of feedforward tuning rules
This paper presents a practical comparison for some of the most relevant tuning rules for feedforward compensators that have been published in the recent years. The work is focused on the...
See MoreModeling Perturbations and Element Failures in a Sensor Array
This MATLAB example shows how to model amplitude, phase, position and pattern perturbations as well as element failures in a sensor array.
See MoreMassive MIMO Hybrid Beamforming
This MATLAB example shows how hybrid beamforming is employed at the transmit end of a massive MIMO communications system, using techniques for both multi-user and single-user systems. The...
See MoreMulti-agent reinforcement learning: An overview
From the abstract:
Multi-agent systems can be used to address problems in a variety of do- mains, including robotics, distributed control, telecommunications, and economics. The complexity...
See MoreMultibeam Radar for Adaptive Search and Track
This MATLAB example shows how to use radarDataGenerator for a closed-loop simulation of a multifunction phased array radar (MPAR). The example starts by defining MPAR system parameters and...
See MoreAutomotive Adaptive Cruise Control Using FMCW Technology
This MATLAB example shows how to model an automotive adaptive cruise control system using the frequency modulated continuous wave (FMCW) technique. This example performs range and Doppler...
See MoreFeedforward tuning rules for measurable disturbances with PID control: a tut...
Feedforward control can be considered as the most well-known control approach to deal with measurable disturbances. It started to be used almost 100 years ago, and since then it is being...
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