User: Hello
Agent: say(speaker="navigator", utterance="Hi")
User: Please send me the latest journals from Algebraic structures on Plos one.
Agent: say(speaker="navigator", utterance="Sure")
Agent: load(url="https://www.google.com/search?q=plos+one&rlz=1C1UEAD_enIN1020IN1020&oq=plos+one&aqs=chrome..69i57j0i512j0i131i433i512j0i512l7.1766j0j4&sourceid=chrome&ie=UTF-8")
Agent: click(x=207, y=253, tag="h3", attrs={})
Agent: click(x=411, y=502, tag="a", attrs={})
Agent: click(x=668, y=578, tag="a", attrs={})
Agent: click(x=905, y=482, tag="a", attrs={})
Agent: click(x=920, y=523, tag="a", attrs={})
Agent: click(x=794, y=377, tag="a", attrs={})
Agent: scroll(x=0, y=207)
Agent: click(x=192, y=212, tag="div", attrs={})
Agent: copy(text="Spectral technique with convergence analysis for solving one and two-dimensional mixed Volterra-Fredholm integral equation")
Agent: click(x=194, y=359, tag="div", attrs={})
Agent: copy(text="Numerical simulations of the soliton dynamics for a nonlinear biological model: Modulation instability analysis")
Agent: scroll(x=0, y=100)
Agent: click(x=196, y=413, tag="div", attrs={})
Agent: copy(text="Performance comparison of structured H ∞ based looptune and LQR for a 4-DOF robotic manipulator")
Agent: click(x=195, y=566, tag="div", attrs={})
Agent: copy(text="An FPGA-based analysis of trade-offs in the presence of ill-conditioning and different precision levels in computations")
Agent: say(speaker="navigator", utterance="Here are the latest one's:\n\t1. Spectral technique with convergence analysis for solving one and two-dimensional mixed Volterra-Fredholm integral equation\n\t2. Numerical simulations of the soliton dy...")
User: Please open the 3rd article and Provide me with a summary of Conclusion.
Agent: say(speaker="navigator", utterance="Alright")
Agent: click(x=380, y=426, tag="a", attrs={})
Agent: click(x=631, y=535, tag="p", attrs={})
Agent: copy(text="LQR and looptune were compared in terms of transient and steady-state performance, and robustness to uncertainty using a 4-DOF robotic arm. For this purpose, three different full state feedback control architectures were developed. The feedback gain for the first control system was computed using LQR. In comparison, SFG-SISO PI and SFG-MIMO PI controllers were synthesized by looptune. The SFG-SISO PI and SFG-MIMO PI controllers were also compared in terms of trajectory tracking. The value of ...")
Agent: tabcreate(target=2011629615)
Agent: tabswitch(origin=2011629613, target=2011629615)
Agent: load(url="https://www.google.com/search?q=chatgpt&rlz=1C1UEAD_enIN1020IN1020&oq=chatgpt&aqs=chrome.0.0i67i131i433i650j0i131i433i512j0i131i433i650j0i433i512j0i131i433i512j0i433i512j0i131i433i512j0i433i512l2.1894j0j7&sourceid=chrome&ie=UTF-8")
Agent: click(x=324, y=247, tag="h3", attrs={})
Agent: click(x=368, y=356, tag="a", attrs={})
Agent: click(x=559, y=582, tag="textarea", attrs={})
Agent: paste(text="LQR and looptune were compared in terms of transient and steady-state performance, and robustness to uncertainty using a 4-DOF robotic arm. For this purpose, three different full state feedback control architectures were developed. The feedback gain for the first control system was computed using LQR. In comparison, SFG-SISO PI and SFG-MIMO PI controllers were synthesized by looptune. The SFG-SISO PI and SFG-MIMO PI controllers were also compared in terms of trajectory tracking. The value of ...")
[[tag]] p
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[[text]] The research compared the performance of LQR and looptune controllers for a 4-DOF robotic arm. Thr...are looptune with other controllers, and evaluate its performance in flexible robotic manipulators.
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[[text]] Chat History is off for this browser.
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[[text]] When history is turned off, new chats on this browser won't appear in your history on any of your devices, be used to train our models, or stored for longer than 30 days. 
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[[text]] This setting does not sync across browsers or devices.
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[[text]] Learn more
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[[attributes]] target='_blank' class='underline' rel='noreferrer' data-webtasks-id='d91873e5-19a1-4325' href='https://help.openai.com/en/articles/7730893'
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[[text]] Today
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[[text]] LQR vs. looptune comparison
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[[text]] IP-10 ELISA for Infection
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[[text]] Bio-plausible Backpropagation Implementation
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[[text]] 
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[[text]] 
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[[text]] Neural Mechanisms of Selective Listening
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] BP Factors & Measurement Phenotypes
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] 
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[[xpath]] /html/body/div[1]/div[2]/div[1]/div/div/div/nav/div[3]/div/div/span[1]/div[1]/ol/li[6]/a/div
[[text]] BP Study Sleep Analysis
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] Burn & Scald Treatment Study
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] 
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[[xpath]] /html/body/div[1]/div[2]/div[1]/div/div/div/nav/div[3]/div/div/span[1]/div[1]/ol/li[8]/a/div
[[text]] Ostracism's Impact on Prosocial Behavior
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] 
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[[xpath]] /html/body/div[1]/div[2]/div[1]/div/div/div/nav/div[3]/div/div/span[1]/div[1]/ol/li[9]/a/div
[[text]] Heat Migration Risks
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] 
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[[text]] Progressive Advancements in Science
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[[text]] 
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[[text]] Laughter's Impact on Cortisol
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[[text]] Retraction Challenges in Scientific Archives
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[[text]] Yesterday
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[[text]] Webtasks Navigator
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[[text]] LQR and looptune were compared in terms of transient and steady-state performance, and robustness ...ology applied in this paper can be explored or further improved.

Summarize the above in few words.
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[[text]] 
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[[text]] 1 / 1
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[[text]] 
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[[text]] 
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[[text]] 
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[[children]] span [[tag]] span
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[[text]] Free Research Preview. ChatGPT may produce inaccurate information about people, places, or facts. 
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[[text]] ChatGPT May 24 Version
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[[attributes]] target='_blank' class='underline' rel='noreferrer' data-webtasks-id='b9cda4fa-974b-4f91' href='https://help.openai.com/en/articles/6825453-chatgpt-release-notes'
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[[children]] 
user
Hello
agent
say(speaker="navigator", utterance="Hi")
user
Please send me the latest journals from Algebraic structures on Plos one.
agent
say(speaker="navigator", utterance="Sure")
agent
load(url="https://www.google.com/search?q=plos+one&rlz=1C1UEAD_enIN1020IN1020&oq=plos+one&aqs=chrome..69i57j0i512j0i131i433i512j0i512l7.1766j0j4&sourceid=chrome&ie=UTF-8")
agent
click(x=207, y=253, tag="h3", attrs={})
agent
click(x=411, y=502, tag="a", attrs={})
agent
click(x=668, y=578, tag="a", attrs={})
agent
click(x=905, y=482, tag="a", attrs={})
agent
click(x=920, y=523, tag="a", attrs={})
agent
click(x=794, y=377, tag="a", attrs={})
agent
scroll(x=0, y=207)
agent
click(x=192, y=212, tag="div", attrs={})
agent
copy(text="Spectral technique with convergence analysis for solving one and two-dimensional mixed Volterra-Fredholm integral equation")
agent
click(x=194, y=359, tag="div", attrs={})
agent
copy(text="Numerical simulations of the soliton dynamics for a nonlinear biological model: Modulation instability analysis")
agent
scroll(x=0, y=100)
agent
click(x=196, y=413, tag="div", attrs={})
agent
copy(text="Performance comparison of structured H ∞ based looptune and LQR for a 4-DOF robotic manipulator")
agent
click(x=195, y=566, tag="div", attrs={})
agent
copy(text="An FPGA-based analysis of trade-offs in the presence of ill-conditioning and different precision levels in computations")
agent
say(speaker="navigator", utterance="Here are the latest one's:\n\t1. Spectral technique with convergence analysis for solving one and two-dimensional mixed Volterra-Fredholm integral equation\n\t2. Numerical simulations of the soliton dy...")
user
Please open the 3rd article and Provide me with a summary of Conclusion.
agent
say(speaker="navigator", utterance="Alright")
agent
click(x=380, y=426, tag="a", attrs={})
agent
click(x=631, y=535, tag="p", attrs={})
agent
copy(text="LQR and looptune were compared in terms of transient and steady-state performance, and robustness to uncertainty using a 4-DOF robotic arm. For this purpose, three different full state feedback control architectures were developed. The feedback gain for the first control system was computed using LQR. In comparison, SFG-SISO PI and SFG-MIMO PI controllers were synthesized by looptune. The SFG-SISO PI and SFG-MIMO PI controllers were also compared in terms of trajectory tracking. The value of ...")
agent
tabcreate(target=2011629615)
agent
tabswitch(origin=2011629613, target=2011629615)
agent
load(url="https://www.google.com/search?q=chatgpt&rlz=1C1UEAD_enIN1020IN1020&oq=chatgpt&aqs=chrome.0.0i67i131i433i650j0i131i433i512j0i131i433i650j0i433i512j0i131i433i512j0i433i512j0i131i433i512j0i433i512l2.1894j0j7&sourceid=chrome&ie=UTF-8")
agent
click(x=324, y=247, tag="h3", attrs={})
agent
click(x=368, y=356, tag="a", attrs={})
agent
click(x=559, y=582, tag="textarea", attrs={})
agent
paste(text="LQR and looptune were compared in terms of transient and steady-state performance, and robustness to uncertainty using a 4-DOF robotic arm. For this purpose, three different full state feedback control architectures were developed. The feedback gain for the first control system was computed using LQR. In comparison, SFG-SISO PI and SFG-MIMO PI controllers were synthesized by looptune. The SFG-SISO PI and SFG-MIMO PI controllers were also compared in terms of trajectory tracking. The value of ...")