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where u represents the measured value of the signal u Samples of u are available at the sample rate f1 , where f1 is large relative to the bandwidth of the system of interest 3 Models are developed for the u sensor and for any aiding sensors In the following, the aiding sensors will be denoted by the variable y The aiding signals may be asynchronous or be sampled at di erent rates, but for simplicity of discussion, assume that they are all sampled at a rate f2 It will typically be the case that f1 >> f2 It may be the case that f2 is smaller than the bandwidth of the system of interest 4 A linearized model is developed for the navigation error state vector The goal for this step is to obtain a set of linear di erential equations with inputs that are de ned by stochastic processes with known statistics This model is the basis for the subsequent two steps 5 A state estimator is designed to stabilize the error state system
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The microprocessor is the IC, or chip, that forms the core of your computer s brain It coordinates all the action and does all the calculations It is located on the motherboard, or main circuit board This board is sometimes called the logic board The microprocessor, together with various other circuits, comprises the central processing unit (CPU) Auxiliary circuits can be fabricated onto the same
It is often advantageous to work with discrete-time equivalent models of continuous-time systems, particularly with the advent of the digital computer This section discusses only notation de nition for state space models of discrete-time systems The calculation of discrete-time models equivalent to continuous-time systems is discussed in Section 355 The standard form for a time-invariant, discrete-time, state space model is xk+1 yk = xk + uk = Hxk (339) (340)
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The above notation is equivalent to x(k + 1) = x(k) + u(k) y(k) = Hx(k) (341) (342)
chip as the microprocessor, but they are often separate The external chips contain memory, storage, and programming instructions You might think of the microprocessor as the computer s conscious mind, which directs the behavior of the machine by deliberate control The CPU, controlled by the microprocessor, represents the PC s entire mind, conscious and subconscious All the ancillary circuits, in conjunction with the CPU, make up the nervous system Peripherals such as printers, disk drives, mice, speech recognition/synthesis apparatus, modems, and displays are the hands, ears, eyes, and mouth of the system In advanced computer systems there can also be robots, vision systems, various home appliances, surveillance apparatus, medical devices, and other exotic equipment under the control of the CPU
Whenever possible, this book will use the notation of eqns (339-340) because it is more compact If, however, the state space variable names have subscripts, it may be necessary to use the notation of eqns (342342) In either model format, it is understood that xk = x(k) = x(kT ) where T is the time increment of the discrete-time system
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You learned about bits and bytes in Chap 26 Let s examine them again in more detail, with emphasis on their relevance to computers Recall that one bit (1 b) is a single binary digit, and one byte (1 B) is a unit of digital data consisting of a string of eight contiguous bits (8 b) in most systems One byte constitutes roughly the same amount of data as one character, such as a letter, numeral, punctuation mark, or space
The previous sections have casually referred to the state of a system The following de nition formalizes this concept De nition 31 The state of a dynamic system is a set of real variables such that knowledge of these variables at time t0 together with knowledge of the system input for t t0 is su cient to determine the system response for all t > t0
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