Consider a non-uniform Euler-Bernoulli beam with a tip-mass at one end and a cantilever joint at the other end. The cantilever joint is not fixed and can itself be moved along an axis perpendicular to the beam. The po...
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We present QuIFS (Quasi-Interpolation driven Feedback Synthesis): an offline feedback synthesis algorithm for explicit nonlinear robust minmax model predictive control (MPC) problems with guaranteed quality of approxi...
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A typical rail-network has a combination of daily trains and non-daily trains that have a weekly-pattern. Being non-daily, such trains run sporadically across the week and thus creates the problem of inefficient timet...
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A typical rail-network has a combination of daily trains and non-daily trains that have a weekly-pattern. Being non-daily, such trains run sporadically across the week and thus creates the problem of inefficient timetabling. Further, for large rail-networks, the timetabling is often done decentrally zone-wise without explicitly ensuring that groups of non-daily trains have similar running times on the bottleneck sections. In this paper, we use a notion of ‘dailyzing’ (making a daily path of non-daily trains) by performing a modulo 24 hours operation and then using Hierarchical Agglomerative Clustering (amongst other techniques) to group the trains. These clusters of trains share the same railway resources almost simultaneously but on different days of the week. Thus the scheduling of one representative train of the cluster as a ‘daily train’ would automatically schedule non-daily ones in that group. Hence, the daily path for non-daily trains provides a systematic and more efficient way of timetabling. The clustering/grouping of trains can also help find an empty slot for a new train scheduling/addition or help in point towards resource under-utilization.
The trajectory tracking problem is a fundamental control task in the study of mechanical systems. Hamiltonian systems are posed on the cotangent bundle of configuration space of a mechanical system, however, symmetrie...
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The trajectory tracking problem is a fundamental control task in the study of mechanical systems. Hamiltonian systems are posed on the cotangent bundle of configuration space of a mechanical system, however, symmetries for the full cotangent bundle are not commonly used in geometric control theory. In this paper, we propose a group structure on the cotangent bundle of a Lie group and leverage this to define momentum and configuration errors for trajectory tracking, drawing on recent work on equivariant observer design. We show that this error definition leads to error dynamics that are themselves “Euler-Poincare like” and use these to derive simple, almost global trajectory tracking control for fully-actuated Euler-Poincare systems on a Lie group state space.
NMR spectroscopy is all about manipulating the nuclear spin of an atom, and we use radio frequency (RF) pulses for this. This paper introduces the TOPS algorithm, which focuses on phase manipulation in RF pulse design...
NMR spectroscopy is all about manipulating the nuclear spin of an atom, and we use radio frequency (RF) pulses for this. This paper introduces the TOPS algorithm, which focuses on phase manipulation in RF pulse design. It addresses the requirement for selective excitation/inversion in MRI and protein resonance experiments and demonstrates the application of the TOPS-2 algorithm in designing phase-modulated frequency selective pulses. The paper presents the algorithm for designing pulses using the TOPS approach to achieve specific objectives such as selective inversion and excitation. Experimental validation of the selective pulse sequence is performed using a sample consisting of 0.5 % H 2 O in 99.5% D 2 O.
This paper introduces an improved control strategy for tracking the altitude and attitude of the quadcopter unmanned aerial vehicle (UAV) in the presence of external disturbance, known as adaptive super-twisting termi...
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ISBN:
(数字)9798331517212
ISBN:
(纸本)9798331517229
This paper introduces an improved control strategy for tracking the altitude and attitude of the quadcopter unmanned aerial vehicle (UAV) in the presence of external disturbance, known as adaptive super-twisting terminal sliding mode control (AST-TSMC). This approach ensures finite-time convergence of the sliding variable and error trajectories using a real second-order sliding mode. An adaptive super-twisting approach is incorporated to reduce the reliance on the upper bound of the unknown disturbance and achieve continuous control. A nonlinear sliding surface is designed to ensure the finite time convergence of the sliding variable and the tracking error. The Lyapunov-based stability analysis is presented to confirm the finite-time convergence. Comparative simulation results of AST-TSMC, ST-TSMC, and TSMC are presented to demonstrate the strategy's performance. The effectiveness of the proposed approach is validated through MATLAB simulation results.
In this paper, we address the problem of robust guidance for a three-body pursuit-evasion problem involving a target, a defender, and an attacker, where the goal is to safeguard the target (an aircraft) from the attac...
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ISBN:
(数字)9798350382655
ISBN:
(纸本)9798350382662
In this paper, we address the problem of robust guidance for a three-body pursuit-evasion problem involving a target, a defender, and an attacker, where the goal is to safeguard the target (an aircraft) from the attacker, using the defender. Thus, the target and the defender may act as a team of vehicles whose common goal is to safeguard the target from the attacker. Additionally, it is desired to maintain necessary constraints on certain states. An adaptive guidance law is proposed for the target-defender team to ensure optimal performance within this set-up. The target-defender dynamics are considered for designing the guidance law with only approximate knowledge of the unknown parameters of the attacker. A robust guidance command is designed using a super-twisting algorithm with adaptive gains. The unknown disturbance bounds required for control implementation are obtained using a novel norm observer. We consider the complete nonlinear model of the system for control design, thereby enabling a wider domain of applicability of the proposed approach. The convergence is established using Lyapunov analysis, which also ensures satisfaction of the required state constraints. Relevant simulation results are presented to study the efficacy of the proposed approach.
This work proposes a kinodynamic motion planning technique for collaborative object transportation by multiple mobile manipulators in dynamic environments. A global path planner computes a linear piece-wise path from ...
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In 2020, indian Railways took up a de novo timetabling exercise for the Golden Quadrilateral and Diagonals (GQD) connecting Mumbai-Delhi-Kolkata-Chennai, involving about 1700 trains on a weekly basis over a network of...
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In 2020, indian Railways took up a de novo timetabling exercise for the Golden Quadrilateral and Diagonals (GQD) connecting Mumbai-Delhi-Kolkata-Chennai, involving about 1700 trains on a weekly basis over a network of 9,099 km. Based on significant participation in this activity, this paper elaborates on the challenges faced in a network-wide simulation and scheduling of trains across a large network. The methods to address these challenges and the software implementation aspects are also described. A network-wide mixed-rail traffic simulator was used successfully to construct a daily timetable for the GQD. The two primary goals of the Zero Based Timetabling (ZBTT) project were to generate train schedules that were: (a) feasible (in terms of kinematic constraints on both trains running and block-section, running lines) and (b) conflict-free (due to multiple trains having to share resources and the need to ensure time-durations of resource usage are different, subject to safety constraints), for a proposed set of departure timings and halt patterns of all the services that were planned on the GQD.
Background This paper tackles instrument tracking and 3D visualization challenges in minimally invasive surgery (MIS), crucial for computer-assisted interventions. Conventional and robot-assisted MIS encounter issues ...
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