From 8618c2c6856a4ba78054bcde9d9805ef2bfab05e Mon Sep 17 00:00:00 2001 From: Sylwester Arabas Date: Fri, 5 Jan 2018 13:13:54 +0200 Subject: [PATCH] typo --- 02-Discrete-Bayes.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/02-Discrete-Bayes.ipynb b/02-Discrete-Bayes.ipynb index cdc187d..807d5b7 100644 --- a/02-Discrete-Bayes.ipynb +++ b/02-Discrete-Bayes.ipynb @@ -1616,7 +1616,7 @@ "\n", "The *system* is what we are trying to model or filter. Here the system is our dog. The *state* is its current configuration or value. In this chapter the state is our dog's position. We rarely know the actual state, so we say our filters produce the *estimated state* of the system. In practice this often gets called the state, so be careful to understand the context.\n", " \n", - "One cycle of prediction and updating with a measurement is called the state or system *evolution*, which is short for *time evolution* [7]. Another term is *system propogation*. It refers to how the state of the system changes over time. For filters, time is usually a discrete step, such as 1 second. For our dog tracker the system state is the position of the dog, and the state evolution is the position after a discrete amount of time has passed.\n", + "One cycle of prediction and updating with a measurement is called the state or system *evolution*, which is short for *time evolution* [7]. Another term is *system propagation*. It refers to how the state of the system changes over time. For filters, time is usually a discrete step, such as 1 second. For our dog tracker the system state is the position of the dog, and the state evolution is the position after a discrete amount of time has passed.\n", "\n", "We model the system behavior with the *process model*. Here, our process model is that the dog moves one or more positions at each time step. This is not a particularly accurate model of how dogs behave. The error in the model is called the *system error* or *process error*. \n", "\n",