146.6K
CHComment your target score (1-100) for control system go get the resources pdf!
#ece #controlsystem
@chip_camp
#Distributed Control System Applications
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COOptimistic Concurrency Control in Distributed System #softwareengineer #softwaredeveloper #java #systemdesign #conceptandcoding
@concepts_by_shrayansh
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H4I built a local, private, uncensored distributed #AI cluster using four #RaspberryPi CM5 Lite modules with 16 GB each. They are mounted on a #Sipeed #NanoCluster board, which integrates a gigabit internal switch and runs from a single 65 W power supply.
The setup delivers 16 cores and 64 GB RAM across the cluster. Using Distributed #LLaMA, the model is partitioned across the nodes, with synchronized workloads handled over the internal fabric.
I am currently testing a small model at about 30 tokens per second, and with quantization performance can be pushed significantly further.
#artificialintelligenceai #llm #thinkpadx1carbon #archlinux #hyprland #cluster
@h4ck1ng.me
16.6K
ARLate Friday challenge: Build a zero-config, topology-free distributed system. Scale with constant memory. By Tuesday, I realized it was trivial. Specs done by end of week, implemented in under 2 months. No questions asked. #Algorithms #TechInnovation #DistributedSystems #Engineering #ZeroConfig #Scalability #ComputerScience #ProblemSolving
@artofneteng
259.9K
DA💥 What is a DDoS Attack? |
DDoS (Distributed Denial of Service) is a type of attack aimed at crashing a server, website, or service by sending a massive number of requests simultaneously.
Thousands of fake clients can render the target unreachable within seconds.
A DDoS attack is a combination of speed, concurrency, and control.
The attacker selects the target. Packets are sent. The system can no longer respond.
⚠️ Disclaimer:
This content is created for educational and testing purposes only.
#DDoS #CyberSecurity #Hacking #HackerSim #EthicalHacking #PythonProject #cybersecurity #CyberAttack #InfoSec #HackingSimulation #GreenTerminal #KaliLinux #TechEducation #NetworkSecurity
@dailymycode
226.7K
MASpeed vs. Destination! 🏎️🎯
That is the entire personality of a First-Order System. When you hit a system with a step input (like flipping a switch to turn on a motor), it doesn't just instantly teleport to its final value. It has to smoothly climb there.
Let’s break down the two parameters controlling that exact journey:
📏 The DC Gain (K): This is your destination. Watch the first half of the animation! As we change K, the final steady-state amplitude shifts up and down. The gain simply tells the system where it needs to eventually stop.
⏱️ The Time Constant (τ): This is your speed limit. Watch the red curve! As τ gets larger, the system becomes sluggish and lags. When τ drops, the system races to the finish line!
Engineering Hack: It takes exactly 5 time constants (5τ) for the system to reach over 99% of its final destination.
Whether you are analyzing the charging rate of an RC circuit or the speed of a DC motor, visualizing the transfer function makes the control theory instantly click! ✨
What is your favorite real-world example of a first-order system? Let’s hear it in the comments! 👇
#ControlSystems #ElectricalEngineering #Mechatronics #EngineeringStudent #SignalProcessing
@mae.academy
19.3K
MIComment “blog” to get link of CDN hotstar system design blog
🔖 save this for future system design interviews!
#SystemDesign
#backenddeveloper
#techreels
#techinterview
#frontenddeveloper
(JioHotstar System Design, System Design Interview, DSA, backend engineer, CDN, global latency, software engineer, tech, Distributed System Architecture, Scalable Backend Systems, SDE2 Interview Preparation)
@mission_compile
826.4K
ELLet’s solve this control systems exercise together: find the steady-state value of the step response of the system illustrated in the block diagram.
Comprising the closed-loop system architecture are the following fundamental components that allow for self-correction:
* The Controller (G_c): The “brain” that processes the signal.
* The Process or Plant (G): The physical system we are trying to influence.
* The Output Transducer (H): Often a sensor that measures the output and feeds it back to the start.
🔄 The Power of Feedback
Without feedback, a system is “blind” to external disturbances. Feedback allows us to compare where we are (Output) with where we want to be (Reference Input). If there is any difference between the two, the system drives the plant, via the actuating signal, to make a correction.
In this specific problem, our output transducer, or sensor, has unity gain, which means that H(s)=1. This is a special case where the actuating signal is precisely the error signal as it is the actual difference between the input and output.
⏱️ Efficiency via the Final Value Theorem
One of the most elegant tools in a control engineer’s toolkit is the Final Value Theorem (FVT). Usually, finding the steady-state behavior of a system would require us to perform an Inverse Laplace Transform to get back into the time domain, y(t), and then calculate the limit as t approached infinity.
FVT lets us skip the heavy lifting. By analyzing the behavior as s tends to 0 in the frequency domain, we can predict the system’s long-term “resting point” without ever leaving the s-plane.
#electrical #electricalengineering #controlsystem #electronics
@electricalmath
136.1K
LOA new software for controls programming and design
#automation #electricalengineering #controls #plc #engineer
@logicalcontrols
1.7M
MAFrom chaos to a single block! 🚀⚙️
Tired of staring at massive, intimidating block diagrams and not knowing where to start? The key to mastering Control Systems is breaking down the complexity step-by-step until you are left with just one elegant equation. 🧩
In this full breakdown, we take a complex, multi-loop system and reduce it entirely down to a single closed-loop transfer function, C(s)/R(s).
It all starts with the basics. As you can see in the preview, we kick things off with Rule 1: Series Blocks Multiply, seamlessly combining G1 and G2. But we certainly don't stop there. Watch as we methodically tackle the rest of the system:
1️⃣ Multiplying the cascaded series blocks.
2️⃣ Collapsing the inner feedback loop containing H1.
3️⃣ Adding the parallel branches like G4 and G5.
4️⃣ Shifting summing junctions to clean up the signal flow.
5️⃣ Finally, resolving the massive outer feedback loop with H2.
By systematically applying these reduction rules one by one, what initially looks like an overwhelming web of signals collapses into one single, manageable block. This is the exact process you need to model, analyze, and simplify real-world engineering systems without getting lost in the math. Visualizing the full journey from start to finish proves that no system is too complex when you know the rules!
Which block diagram reduction rule always tries to trip you up on exams? Let’s talk about it in the comments! 👇
#ControlSystems #BlockDiagramReduction #EngineeringStudent #Mechatronics #TransferFunction
@mae.academy
287.9K
TYWhat y’all know bout Damped, Undamped, and Overdamped System Responses? 👀
I’m talking overshoot, peak time, all of it 😂
#explorepage✨ #engineering #fyp #explore
@tyrese.bishop
84.0K
NASystemDesign Series 01 — Plan and Basics
Comment “Notes” 🐥
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#minivlog #dayinmylife #coderlife #developerlife #gymlife
@naval__15
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