Locomotion involves complex interactions between an organism and its environment. Despite these complex interactions, many characteristics of the motion of an animal's center of mass (COM) can be modeled using simple mechanical models such as inverted pendulum (IP) and spring-loaded inverted pendulum (SLIP) which employ a single effective leg to model an animal's COM. However, because these models are simple, they also have many limitations. We show that one limitation of IP and SLIP and many other simple mechanical models of locomotion is that they cannot model many observed features of locomotion at slow speeds. This limitation is due to the fact that the gravitational force is too strong, and, if unopposed, compels the animal to complete its stance in a relatively short time. We propose a new model, AS-IP (Angular Spring modulated Inverted Pendulum), in which the body is attached to the leg using springs which resist the leg's movement away from the vertical plane, and thus provides a means to model forces that effectively counter gravity. We show that AS-IP provides a mechanism by which an animal can tune its stance duration, and provide evidence that AS-IP is an excellent model for the motion of a fly's COM. More generally, we conclude that combining AS-IP with SLIP will greatly expand our ability to model legged locomotion over a range of speeds.
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http://dx.doi.org/10.1016/j.jtbi.2018.08.027 | DOI Listing |
Sci Rep
December 2024
Innovative Global Program, Shibaura Institute of Technology, Tokyo, 135-8548, Japan.
This paper presents a novel and comprehensive control framework for the Rotary Inverted Pendulum (RIP), focusing on a hybrid control strategy that addresses the limitations of conventional methods in nonlinear and complex systems. The proposed controller synergistically combines an Optimized Fuzzy Logic Controller (OFLC) with Sliding Mode Control (SMC), leveraging the strengths of both techniques to achieve superior performance. The integration of Particle Swarm Optimization (PSO) into the OFLC significantly enhances its adaptability and precision, while the SMC law provides robust disturbance rejection and system stability.
View Article and Find Full Text PDFExperimental neuroscience techniques are advancing rapidly, with major recent developments in high-density electrophysiology and targeted electrical stimulation. In combination with these techniques, cortical organoids derived from pluripotent stem cells show great promise as models of brain development and function. Although sensory input is vital to neurodevelopment , few studies have explored the effect of meaningful input to neural cultures over time.
View Article and Find Full Text PDFJ Neural Eng
December 2024
Exercise Physiology, Department of Human Performance, School of Medicine, West Virginia University, Morgantown, WV, United States of America.
Complex biological systems have evolved to control movement dynamics despite noisy and unpredictable inputs and processing delays that necessitate forward predictions. The staple example in vertebrates is the locomotor control emerging from interactions between multiple systems-from passive dynamics of inverted pendulum governing body motion to coupled neural oscillators that integrate predictive forward and sensory feedback signals. These neural dynamic computations are expressed in the rhythmogenic spinal network known as the central pattern generator (CPG).
View Article and Find Full Text PDFJ Biomech
December 2024
Department of Biomechanics, University of Nebraska at Omaha, Omaha, NE, United States. Electronic address:
While levodopa is the most effective drug for symptom treatment of Parkinson's Disease (PD), its long-term use often leads to side effects such as uncontrolled involuntary movements known as levodopa-induced dyskinesia (LID). LID has been shown to increase postural sway, but the extent to which these hyperkinetic movements alter postural sway strategies has not been explored. We recruited 25 people with idiopathic PD, of which 13 exhibit clinical signs of LID, and 10 healthy older adults.
View Article and Find Full Text PDFISA Trans
November 2024
State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, 310058, China. Electronic address:
In this paper, a novel adaptive safe fault-tolerant (SFT) controller design framework is proposed to obtain stability with safety guarantee for a class of single systems and a class of interconnected nonlinear systems in the presence of unknown faults. Under the framework, an adaptive fault-tolerant controller for a class of single systems is designed to ensure safety and asymptotic stability simultaneously. For interconnected systems, the neural networks (NNs) is used to parameterize the unknown faults and interconnection terms.
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