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Related Concept Videos

Controller Configurations01:22

Controller Configurations

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Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
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Orthogonal Trajectories01:26

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Orthogonal trajectories describe the geometric relationship between two families of curves that intersect each other at right angles. One illustrative case involves a family of parabolas that open sideways along the x-axis. These curves share a common shape but differ by a scaling parameter, resulting in a set of curves that all pass through the origin and widen at different rates.Determining Orthogonal TrajectoriesTo identify the orthogonal trajectories for these parabolas, the first step...
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Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
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Open and closed-loop control systems01:17

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Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
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Feedback control systems01:26

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Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
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Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
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Related Experiment Video

Updated: Jan 17, 2026

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
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Autonomous Tracked Vehicles Operating in Cluttered and Unknown Environments: A Networked Set-Theoretic Receding

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    This study presents a novel networked control framework for autonomous robots navigating unknown environments. The approach ensures safe path planning and control, even with communication delays and unexpected obstacles.

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    Area of Science:

    • Robotics
    • Control Systems
    • Artificial Intelligence

    Background:

    • Autonomous robots face challenges in unknown, cluttered environments.
    • Ensuring safety in path planning and control during online operations is critical.
    • Networked control systems introduce complexities like time delays.

    Purpose of the Study:

    • To develop a robust control architecture for autonomous robots in unknown environments.
    • To address safety concerns in path planning and control under communication delays and unpredictable obstacles.
    • To ensure mission accomplishment and trajectory boundedness despite vehicle uncertainties.

    Main Methods:

    • Utilizing model predictive control (MPC) within a set-theoretic framework.
    • Designing a novel control architecture with anti-collision capabilities.
    • Formally proving properties like boundedness and constraint fulfillment.

    Main Results:

    • The proposed architecture provides anti-collision capabilities despite time-induced delays.
    • It ensures mission accomplishment even with unpredictable obstacles.
    • Formal proofs confirm trajectory boundedness and constraint fulfillment regardless of vehicle uncertainties.

    Conclusions:

    • The developed control architecture enhances the safety and reliability of autonomous robots in hazardous scenarios.
    • The framework is particularly suitable for agile, adaptable robots like the semi-autonomous surface-to-surface mobile robots (SSTMR).
    • Experimental validation demonstrates the effectiveness and advantages of the proposed approach.