Although adaptive control offers a unique way to control dynamical systems without excessive reliance on their mathematical models, it is well known that nonidentical command profiles result in nonidentical closed-loo...
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ISBN:
(纸本)9781509035496
Although adaptive control offers a unique way to control dynamical systems without excessive reliance on their mathematical models, it is well known that nonidentical command profiles result in nonidentical closed-loop responses with such controllers, and therefore, it is of practical interest to study theoretical ways to construct predictable closed-loop responses when adaptive controllers are in the loop. To that end, we introduce a new concept called scalability to adaptive control in this paper. In particular, we analyze how to scale learning rates of adaptive weight update laws of various adaptive control schemes with respect to given command profiles to achieve a predictable closed-loop response. Illustrative numerical examples are provided to demonstrate the proposed concept and a possible utilization for the evaluation of adaptive controllers.
this article introduces a frequency domain approach for designing a data-driven controller. Unlike the model-based control, it does not require a parametric model but only needs the input-output open loop test data fo...
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ISBN:
(纸本)9781509035496
this article introduces a frequency domain approach for designing a data-driven controller. Unlike the model-based control, it does not require a parametric model but only needs the input-output open loop test data for the purpose of spectral analysis. the resulting discrete frequency response is then utilized to give an optimal parameter design for a pre-defined structure controller, which is formulated as a non-convex optimization problem. the design approach is applied on a case study, an end-driving flexible beam with highly nonlinear dynamics. Simulations in finite element analysis (FEA) software show that the proposed controller can achieve similar performance as a model-based mixed sensitivity controller under the same design setup. In addition, it has the design flexibility of choosing the structure of the designated controller, which can largely decrease the controller order for implementation merits.
In this paper, we propose a class of generalized flocking algorithms based on the Olfati-Saber's results for self-driving multi-agent networks by introducing some metric weighting matrix and leader-agent-related n...
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ISBN:
(纸本)9781509035496
In this paper, we propose a class of generalized flocking algorithms based on the Olfati-Saber's results for self-driving multi-agent networks by introducing some metric weighting matrix and leader-agent-related navigation-weighting coefficients, in which the multi-agents are also driven by distributed continuous-time control algorithms that are defined merely by local position and velocity measurements of neighboring multi-agents as usual. It is shown that the concerned multi-agent systems eventually run into what we call the generalized alpha-lattice flocking by means of the generalized algorithms, while flocking lattice geometries such as direction variation and lattice deformation (say, shrinkage and enlargement) can be achieved by choosing the weighting matrix and the leader agent coefficients. In the process of flocking, the whole multi-agent system satisfies the Reynold's principles of flocking aggregation, collision avoidance and velocity matching, while possible inter-agent collision is also verified by means of the variation-of-constants formula when initially the agents are aggregative too densely.
this work presents a novel framework for the formation control of multiple autonomous ground vehicles in an on-road environment. Unique challenges of this problem lie in 1) the design of collision avoidance strategies...
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ISBN:
(纸本)9781509035496
this work presents a novel framework for the formation control of multiple autonomous ground vehicles in an on-road environment. Unique challenges of this problem lie in 1) the design of collision avoidance strategies with obstacles and with other vehicles in a highly structured environment, 2) dynamic reconfiguration of the formation to handle different task specifications. In this paper, we design a local MPC-based trajectory planner for each individual vehicle to follow a reference trajectory while satisfying the various kinematic and dynamic constraints of the vehicles as well as collision avoidance and formation-keeping requirements. the reference trajectory of a vehicle is computed from its leader's trajectory, based on a pre-defined formation tree. We use logic rules to organize the collision avoidance behaviors of member vehicles. Moreover, we propose a methodology to safely reconfigure the formation on-the-fly. the proposed framework has been validated using high-fidelity simulations.
In this paper, the output containment control problem of heterogeneous linear multi-agent systems is investigated. the objective of the output containment control problem is to make a group of agents converge to a con...
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ISBN:
(纸本)9781509035496
In this paper, the output containment control problem of heterogeneous linear multi-agent systems is investigated. the objective of the output containment control problem is to make a group of agents converge to a convex hull spanned by some leaders. A distributed control law based on output regulation framework is proposed, where a distributed observer is designed in the control law for agents estimating the leaders' states. the salient feature of the proposed control law is that convergence trajectories of the distributed observers can only be determined by system communication topology and the initial states of leaders, which is helpful to obtain local necessary and sufficient condition for the solvability of the output containment control problem. Simulation studies demonstrate that the proposed control law is effective and efficient.
the bipartite consensus problem of multiple twotime scales agents over the signed digraph, where both cooperative and competitive interactions exist among the agents, is considered with a new distributed protocol. Suf...
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ISBN:
(纸本)9781509035496
the bipartite consensus problem of multiple twotime scales agents over the signed digraph, where both cooperative and competitive interactions exist among the agents, is considered with a new distributed protocol. Sufficient conditions for bipartite consensus is presented in terms of easily checkable algebraic Riccati equation (ARE). Compared withthe existing result on consensus of multiple two-time scales agents, the communication topology here is more generic. Moreover, the upper bound of the singular perturbation parameter is also presented. Simulation examples are given to illustrate the effectiveness of the proposed results.
We study a distributed constrained optimal consensus problem of discrete-time multi-agent systems under fixed communication delays. Specifically, the total cost is expressed as the sum of individual cost of each agent...
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ISBN:
(纸本)9781509035496
We study a distributed constrained optimal consensus problem of discrete-time multi-agent systems under fixed communication delays. Specifically, the total cost is expressed as the sum of individual cost of each agent, and only part of agents have access to the constraint. the constrained optimal consensus is solved if the final consensus value falls within the constraint, and in the meanwhile minimizes the total cost. Based on consensus method and subgradients, we propose a distributed two-step update scheme in which the state of each agent is firstly averaged withthe delayed state information from neighbors, followed by a decaying subgradient descent from the individual cost, together with a movement along the projection direction if the agent can access the constraint. We show that the distributed constrained optimal consensus problem under fixed communication delays can be solved if the fixed network is balanced and contains a spanning tree, the constraint is accessible by at least one agent, and the gain on subgradient is decaying but persistent. Simulation results are provided to verify our conclusion.
the stable physical simulation of soft tissue-blood interaction is indispensable for virtual surgery. In this paper a novel unified particle-based algorithm, eliminating the need to define an interface for coupling di...
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ISBN:
(纸本)9781509035496
the stable physical simulation of soft tissue-blood interaction is indispensable for virtual surgery. In this paper a novel unified particle-based algorithm, eliminating the need to define an interface for coupling different models, is presented to simulate soft tissue-blood interaction based on Smoothed Particle Hydrodynamics (SPH). In this method tissue-blood interaction is treated as fluid-fluid interaction with large rest density ratio, therefore interaction forces between particles can be computed by unified SPH model. Moreover, a simple penetration detection and velocity correction is adopted to prevent blood leaking into soft tissue. In order to strengthen interaction simulation realism, a surface tension model with a stable and accurate surface curvature calculation are provided. the experimental results show that this model is capable of animating the realistic and stable soft tissue-blood interaction.
this paper considers H-infinity reduced-order filtering problem for discrete-time Takagi-Sugeno (T-S) fuzzy systems with time-varying delay in its state. Firstly, Based on the reciprocally convex methods and a novel f...
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ISBN:
(纸本)9781509035496
this paper considers H-infinity reduced-order filtering problem for discrete-time Takagi-Sugeno (T-S) fuzzy systems with time-varying delay in its state. Firstly, Based on the reciprocally convex methods and a novel fuzzy Lyapunov functional, the proposed basis-dependent condition is utilized to ensure that the resulted error system is asymptotically stable with a prescribed H-infinity performance and reduce the conservativeness. then, By utilization of the convex linearization technique, the sufficient condition of reduced-order filter design can be casted into linear matrix inequality constraints. Finally, the desired filters can be obtained based on standard numerical algorithms.
Withthe rapid development of industrial robots, their applications become more and more complex. the requirements for robots are no longer just simple repetitive movements, but some intelligent coordination. A single...
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ISBN:
(纸本)9781538604915
Withthe rapid development of industrial robots, their applications become more and more complex. the requirements for robots are no longer just simple repetitive movements, but some intelligent coordination. A single robot is difficult to complete such a task. Hence a coordinated robotic system with dual robots should be developed. In this paper, we propose a dual-robot cooperative system with multiple sensors to perform high speed material sorting. A vision system is used to locate the objects on a conveyor and classify the objects. Based on the information from the vision system, the first robot will pick up the object and transfer it to an intermediate station. the second robot will then sort the object into different containers. the two robots are controlled to avoid collision with each other. An experimental system is set up and experiments were performed to sort different objects into different containers. the results demonstrate the effectiveness and efficiency of the proposed method. the proposed method has many applications in manufacturing automation.
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