Titlebook: Control Subject to Computational and Communication Constraints; Current Challenges Sophie Tarbouriech,Antoine Girard,Laurentiu Hetel Book 2

Neogamist

書目名稱Control Subject to Computational and Communication Constraints影響因子(影響力)




書目名稱Control Subject to Computational and Communication Constraints影響因子(影響力)學科排名




書目名稱Control Subject to Computational and Communication Constraints網(wǎng)絡公開度




書目名稱Control Subject to Computational and Communication Constraints網(wǎng)絡公開度學科排名




書目名稱Control Subject to Computational and Communication Constraints被引頻次




書目名稱Control Subject to Computational and Communication Constraints被引頻次學科排名




書目名稱Control Subject to Computational and Communication Constraints年度引用




書目名稱Control Subject to Computational and Communication Constraints年度引用學科排名




書目名稱Control Subject to Computational and Communication Constraints讀者反饋




書目名稱Control Subject to Computational and Communication Constraints讀者反饋學科排名

珍奇

Pessary

Entwerfen von Geb?udebli?ableiternhapter we describe an approach to model ETC traffic employing ideas from the symbolic abstractions literature. The resulting models of traffic are timed-automata. We also discuss briefly how these models can be employed to automatically synthesize schedulers.

Orchiectomy

Einiges über die menschliche Ern?hrungn. We then consider a setup where agents are assigned individual tasks in the form of linear temporal logic (LTL) formulas and derive local task planning strategies for each agent. In the last part, the problem of combined distributed task planning and control under coupled continuous constraints is

補助

MOAT

Stabilizability and Control Co-Design for Discrete-Time Switched Linear Systemslexity. The results are finally extended to the problem of the co-design of a control policy, composed by both the state feedback and the switching control law, for discrete-time switched linear systems. Constructive conditions are given in form of LMI that are necessary and sufficient for the stabi

MOAT

Measured

門窗的側(cè)柱

Infelicity

Information Constraints in Multiple Agent Problems with I.I.D. Statesnumber of agents is arbitrary, and the agents have causal knowledge about the state. In the second scenario, there are only two agents, and the agents have some knowledge about the future of the state, making its knowledge noncausal.